WorldWideScience

Sample records for underlying anti-globalization sentiments

  1. Nuclear position in power generation sector - under the pressure of anti-global warming and power market reform

    International Nuclear Information System (INIS)

    Hayashi, Taizo

    2005-01-01

    The future structure surrounding fuel choice in power generation sector should be understood how to evaluate actual and potential merit and demerit both in economic and environmental aspects on nuclear power generation. That is i.e. nuclear can be understood as superior power source without GHGs and on the other hand, as unfavorable power source which might cause some critical dangers due to its hazardous radioactive nuclear waste. On this specific characteristic, this theme on fuel choice surrounding nuclear in power generation sector could be understood as a highly cultural problem as much as economic and political one. For instance, we can observe quite opposite direction with each other on nuclear power development in European countries like France and Finland on one hand and Germany and Sweden on the other hand. Looking at Asian countries, we also observe the very reality of high economic growth with rapid growth of electricity demand like China. What on earth, is it really possible without nuclear power source for such gigantic countries. I will develop my personal idea on nuclear power source based on Japanese experience towards successfully managing nuclear power technologies in the world, consisting of developing countries with growing economies and of advanced ones with rather matured nuclear technology under the pressure of environmentally restricted world order. My basic view point to discuss nuclear power problem has, conclusionally speaking, several aspects; The first one is in the relation with deregulation or liberalization of electricity market, which has been undergoing among such developed countries as OECD member countries i.e. USA, EU, Japan and other countries. Deregulation or liberalization of electricity market seems to be the inevitable process towards more matured market economy among developed countries group, and that process inevitably forces management of power companies towards more near sighted attitude if those companies are

  2. Naturalist Sentimentalism

    DEFF Research Database (Denmark)

    Wohlmann, Anita

    2018-01-01

    This article examines four short stories by the American writer Rebecca Harding Davis (1831-1910), who became a nationally acclaimed writer with the stylistically innovative novella Life in the Iron Mills (1861). Using the double perspective of age studies and ‘naturalist sentimentalism’, the essay...... analyses Davis’s representation of the paradoxes of old age. Davis blends sentimental ideals of sympathy, sacrifice, and hope with naturalist themes of entrapment, the inevitability of decline, and biological determinism. Four short stories by Davis will serve as cases in point: ‘At Noon’ (1887), ‘At...

  3. Sentiment of Emojis.

    Directory of Open Access Journals (Sweden)

    Petra Kralj Novak

    Full Text Available There is a new generation of emoticons, called emojis, that is increasingly being used in mobile communications and social media. In the past two years, over ten billion emojis were used on Twitter. Emojis are Unicode graphic symbols, used as a shorthand to express concepts and ideas. In contrast to the small number of well-known emoticons that carry clear emotional contents, there are hundreds of emojis. But what are their emotional contents? We provide the first emoji sentiment lexicon, called the Emoji Sentiment Ranking, and draw a sentiment map of the 751 most frequently used emojis. The sentiment of the emojis is computed from the sentiment of the tweets in which they occur. We engaged 83 human annotators to label over 1.6 million tweets in 13 European languages by the sentiment polarity (negative, neutral, or positive. About 4% of the annotated tweets contain emojis. The sentiment analysis of the emojis allows us to draw several interesting conclusions. It turns out that most of the emojis are positive, especially the most popular ones. The sentiment distribution of the tweets with and without emojis is significantly different. The inter-annotator agreement on the tweets with emojis is higher. Emojis tend to occur at the end of the tweets, and their sentiment polarity increases with the distance. We observe no significant differences in the emoji rankings between the 13 languages and the Emoji Sentiment Ranking. Consequently, we propose our Emoji Sentiment Ranking as a European language-independent resource for automated sentiment analysis. Finally, the paper provides a formalization of sentiment and a novel visualization in the form of a sentiment bar.

  4. Is humility a sentiment?

    Science.gov (United States)

    Weidman, Aaron C; Tracy, Jessica L

    2017-01-01

    Gervais & Fessler reintroduce the concept of a sentiment as a framework for conceptualizing contempt, a construct with both attitudinal and emotional components. We propose that humility might also fit this mold. We review recent findings regarding the antecedents, phenomenology, and functional consequences of humility, and discuss why conceptualizing it as a sentiment may advance our understanding of this construct.

  5. Sapiness–sentiment analyser

    Directory of Open Access Journals (Sweden)

    Jánosi-Rancz Katalin Tünde

    2015-12-01

    Full Text Available In our ever-evolving world, the importance of social networks is bigger now than ever. The purpose of this paper is to develop a sentiment analyzer for the Hungarian language, which we can then use to analyze any text and conduct further experiments. One such experiment is an application which can interface with social networks, and run sentiment analysis on the logged-in users friends’ posts and comments, while the other experiment is the use of sentiment analysis in order to visualize the evolution of relationships between characters in a text.

  6. Machine learning in sentiment reconstruction of the simulated stock market

    Science.gov (United States)

    Goykhman, Mikhail; Teimouri, Ali

    2018-02-01

    In this paper we continue the study of the simulated stock market framework defined by the driving sentiment processes. We focus on the market environment driven by the buy/sell trading sentiment process of the Markov chain type. We apply the methodology of the Hidden Markov Models and the Recurrent Neural Networks to reconstruct the transition probabilities matrix of the Markov sentiment process and recover the underlying sentiment states from the observed stock price behavior. We demonstrate that the Hidden Markov Model can successfully recover the transition probabilities matrix for the hidden sentiment process of the Markov Chain type. We also demonstrate that the Recurrent Neural Network can successfully recover the hidden sentiment states from the observed simulated stock price time series.

  7. Sentiment and art prices

    NARCIS (Netherlands)

    Penasse, J.N.G.; Renneboog, L.D.R.; Spaenjers, C.

    We hypothesize the existence of a slow-moving fad component in art prices. Using unique panel survey data on art market participants’ confidence levels in the outlook for a set of artists, we find that sentiment indeed predicts short-term returns.

  8. Sentiment topic mining based on comment tags

    Science.gov (United States)

    Zhang, Daohai; Liu, Xue; Li, Juan; Fan, Mingyue

    2018-03-01

    With the development of e-commerce, various comments based on tags are generated, how to extract valuable information from these comment tags has become an important content of business management decisions. This study takes HUAWEI mobile phone tags as an example using the sentiment analysis and topic LDA mining method. The first step is data preprocessing and classification of comment tag topic mining. And then make the sentiment classification for comment tags. Finally, mine the comments again and analyze the emotional theme distribution under different sentiment classification. The results show that HUAWEI mobile phone has a good user experience in terms of fluency, cost performance, appearance, etc. Meanwhile, it should pay more attention to independent research and development, product design and development. In addition, battery and speed performance should be enhanced.

  9. The Asymmetric Effects of Investor Sentiment

    DEFF Research Database (Denmark)

    Lutz, Chandler

    2016-01-01

    We use the returns on lottery-like stocks and a dynamic factor model to construct a novel index of investor sentiment. This new measure is highly correlated with other behavioral indicators, but more closely tracks speculative episodes. Our main new finding is that the effects of sentiment...... are asymmetric: During peak-to-trough periods of investor sentiment (sentiment contractions), high sentiment predicts low future returns for the cross section of speculative stocks and for the market overall, whereas the relationship between sentiment and future returns is positive but relatively weak during...... trough-to-peak episodes (sentiment expansions). Overall, these results match theories and anecdotal accounts of investor sentiment....

  10. Naturalizing sentimentalism for environmental ethics

    DEFF Research Database (Denmark)

    Kasperbauer, Tyler Joshua

    2015-01-01

    . One way of testing the empirical adequacy of sentimentalism is by looking at research on environmental values. A classic problem in environmental ethics is providing an account of the intrinsic value of nonhuman entities, which is often thought to be inconsistent with sentimentalism. However...

  11. Qualitative and Quantitative Sentiment Proxies

    DEFF Research Database (Denmark)

    Zhao, Zeyan; Ahmad, Khurshid

    2015-01-01

    Sentiment analysis is a content-analytic investigative framework for researchers, traders and the general public involved in financial markets. This analysis is based on carefully sourced and elaborately constructed proxies for market sentiment and has emerged as a basis for analysing movements...

  12. Revolutionary Sentiment in Slave Narratives

    DEFF Research Database (Denmark)

    Simonsen, Karen-Margrethe

    2016-01-01

    of genre and are written not by the victims but by ‘spectators’, political or human rights agents, historians or literary writers who are in a distanced position from the actual slavery. In order to understand the role of sentimentalism in slave narratives, I will discuss the sentimental novel by Gertrudis...... Gómez de Avellaneda: Sab (the Cuban/Spanish equivalent of Uncle Tom’s Cabin), written between 1836 and 1839 and published 1841 in Spain. I will argue that the sentimentalism of Sab is of a revolutionary kind, based in a conception of natural law and that its aim is a radical transformation of social...... hierarchies. The paper will be divided into three parts: 1. First I will discuss what sentimentalism is and its relation to politics and especially abolitionism in the 19th century. 2. Then I will analyze Sab’s genre trying to establish the different functions of sentimentality, discussing the tragic modes...

  13. Inequality and anti-globalization backlash by political parties

    NARCIS (Netherlands)

    Burgoon, B.

    2011-01-01

    Does inequality fuel anti-globalization backlash? This paper answers this question by analyzing how income inequality affects the embrace or eschew of globalization by political parties. It focuses on party opposition to and support for trade openness, European-Union integration, and general

  14. Sentiment Analysis and Opinion Mining

    CERN Document Server

    Liu, Bing

    2012-01-01

    Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions

  15. On Three Defenses of Sentimentalism

    OpenAIRE

    Iwasa, Noriaki

    2013-01-01

    This essay shows that a moral sense or moral sentiments alone cannot identify appropriate morals. To this end, the essay analyzes three defenses of Francis Hutcheson’s, David Hume’s, and Adam Smith’s moral sense theories against the relativism charge that a moral sense or moral sentiments vary across people, societies, cultures, or times. The first defense is the claim that there is a universal moral sense or universal moral sentiments. However, even if they exist, a moral sense or moral sent...

  16. Affective Computing and Sentiment Analysis

    CERN Document Server

    Ahmad, Khurshid

    2011-01-01

    This volume maps the watershed areas between two 'holy grails' of computer science: the identification and interpretation of affect -- including sentiment and mood. The expression of sentiment and mood involves the use of metaphors, especially in emotive situations. Affect computing is rooted in hermeneutics, philosophy, political science and sociology, and is now a key area of research in computer science. The 24/7 news sites and blogs facilitate the expression and shaping of opinion locally and globally. Sentiment analysis, based on text and data mining, is being used in the looking at news

  17. From Sentiment to Sentimentality: A Nineteenth-Century Lexicographical Search

    Directory of Open Access Journals (Sweden)

    Marie Banfield

    2007-04-01

    Full Text Available The brief account of the lexicographical history of the word ‘sentiment' in the nineteenth century, and the table of definitions which follows it, grew from my increasing sense of the shifting and ambivalent nature of the term in the literature of the period, despite the resonance and the proverbial solidity of phrases such as ‘Victorian sentiment' and ‘Victorian sentimentality'. The table is self explanatory, representing the findings of a search, among a wide range of nineteenth-century dictionaries over the period, for the changing meanings accrued by the word ‘sentiment' over time, its extensions and its modifications. The nineteenth-century lexicographical history of the word ‘sentiment' has its chief roots in the Eighteenth-century enlightenment, with definitions from Samuel Johnson and quotations from John Locke, chiefly based on intellect and reason. The nineteenth century generated a number of derivatives of the word over a period of time to express altered modes of feeling, thought and moral concern. The history of the word ‘sentiment' offers a psychological as well as a linguistic narrative.

  18. Lexical Sentiment Analysis in Slovenian Texts

    OpenAIRE

    VOLČANŠEK, MATEJA

    2015-01-01

    The goal of this thesis is to create a sentiment dictionary for the Slovenian language which can be used in lexical methods for automatic sentiment analysis. We start from a sentiment dictionary for the English language, translate it semi-automatically to Slovenian and curate its content. We test the performance of using the translated dictionary for automated lexical sentiment analysis on a corpus of 5000 manually annotated Slovenian news articles gathered from the main Slovenian news por...

  19. Using Tweets for Assigning Sentiments to Regions

    NARCIS (Netherlands)

    Tjong Kim Sang, Erik

    2014-01-01

    We derive a sentiment lexicon for Dutch tweets and apply the lexicon for classifying Dutch tweets as positive, negative or neutral. The classifier enables us to test what regions in the Netherlands and Flanders express more positive sentiment on Twitter than others. The results reveal sentiment

  20. The Relationship between Sentiment and Risk in Financial Markets

    Directory of Open Access Journals (Sweden)

    Ana Luiza Paraboni

    2018-03-01

    Full Text Available This article estimates association coefficients between measures of market sentiment and risk in the U.S., German and Chinese markets. In terms of risk, four measures were considered: standard deviation, value at risk, expected shortfall and shortfall deviation risk. For market sentiment, data was collected using the Psych Signal technology, which is based on the behavior of investors on social networks. The results indicate significant statistical associations, with the direction of association having financial meaning. Moreover, the empirical findings are valid for all risk measurements. The results are in keeping with the Prospect Theory, since in moments when the sentiment indicates low liquidity (a negative value for the difference between Bullish and Bearish Intensities investors try to reduce the negotiation volume, which has a positive impact on risk. On the other hand, under the inverted scenario, when sentiment indicates high liquidity, there is an increase in the negotiation volume and a consequent decrease in risk. This article is important because its observations of market sentiment as measured by social media data show a consistent relationship with measures of financial risk.

  1. Logical Entity Level Sentiment Analysis

    DEFF Research Database (Denmark)

    Petersen, Niklas Christoffer; Villadsen, Jørgen

    2017-01-01

    We present a formal logical approach using a combinatory categorial grammar for entity level sentiment analysis that utilizes machine learning techniques for efficient syntactical tagging and performs a deep structural analysis of the syntactical properties of texts in order to yield precise resu...

  2. GIF Video Sentiment Detection Using Semantic Sequence

    Directory of Open Access Journals (Sweden)

    Dazhen Lin

    2017-01-01

    Full Text Available With the development of social media, an increasing number of people use short videos in social media applications to express their opinions and sentiments. However, sentiment detection of short videos is a very challenging task because of the semantic gap problem and sequence based sentiment understanding problem. In this context, we propose a SentiPair Sequence based GIF video sentiment detection approach with two contributions. First, we propose a Synset Forest method to extract sentiment related semantic concepts from WordNet to build a robust SentiPair label set. This approach considers the semantic gap between label words and selects a robust label subset which is related to sentiment. Secondly, we propose a SentiPair Sequence based GIF video sentiment detection approach that learns the semantic sequence to understand the sentiment from GIF videos. Our experiment results on GSO-2016 (GIF Sentiment Ontology data show that our approach not only outperforms four state-of-the-art classification methods but also shows better performance than the state-of-the-art middle level sentiment ontology features, Adjective Noun Pairs (ANPs.

  3. Sentiment analysis for PTSD signals

    CERN Document Server

    Kagan, Vadim; Sapounas, Demetrios

    2013-01-01

    This book describes a computational framework for real-time detection of psychological signals related to Post-Traumatic Stress Disorder (PTSD) in online text-based posts, including blogs and web forums. Further, it explores how emerging computational techniques such as sentiment mining can be used in real-time to identify posts that contain PTSD-related signals, flag those posts, and bring them to the attention of psychologists, thus providing an automated flag and referral capability.

  4. Social media sentiment and consumer confidence

    OpenAIRE

    Daas, Piet J.H.; Puts, Marco J.H.

    2014-01-01

    Changes in the sentiment of Dutch public social media messages were compared with changes in monthly consumer confidence over a period of three-and-a-half years, revealing that both were highly correlated (up to r = 0.9) and that both series cointegrated. This phenomenon is predominantly affected by changes in the sentiment of all Dutch public Facebook messages. The inclusion of various selections of public Twitter messages improved this association and the response to changes in sentiment. G...

  5. Social Robots, fiction, and sentimentality

    DEFF Research Database (Denmark)

    Rodogno, Raffaele

    2016-01-01

    in the philosophy of art and in cognitive science that attempts to solve the so called paradox of fictional emotions, i.e., the seemingly paradoxical way in which we respond emotionally to fictional or imaginary characters and events. If sentimentality were not at issue, neither would its immorality. For the sake...... argue that there are other reasons to be worried about the wide-spread use of ersatz companionship technology that have to do with the potential loss of valuable, self-defining forms of life....

  6. Network public opinion space sentiment tendency analyze based on recurrent convolution neural network

    Science.gov (United States)

    Zhang, Gaowei; Xu, Lingyu; Wang, Lei

    2018-04-01

    The purpose of this chapter is to analyze the investor's psychological characteristics and investment decision-making behavior characteristics, to study the investor sentiment under the network public opinion, and then analyze from three aspects: First, investor sentiment analysis and how to spread in the online media; The influence mechanism of investor's emotion on the stock market and its effect; the third one is to measure the investor's emotion based on the degree of attention, trying hard to sort out the internal relations between the investor's sentiment and the network public opinion and the stock market, in order to lay the theoretical foundation of this article.

  7. Citation Sentiment Analysis in Clinical Trial Papers.

    Science.gov (United States)

    Xu, Jun; Zhang, Yaoyun; Wu, Yonghui; Wang, Jingqi; Dong, Xiao; Xu, Hua

    2015-01-01

    In scientific writing, positive credits and negative criticisms can often be seen in the text mentioning the cited papers, providing useful information about whether a study can be reproduced or not. In this study, we focus on citation sentiment analysis, which aims to determine the sentiment polarity that the citation context carries towards the cited paper. A citation sentiment corpus was annotated first on clinical trial papers. The effectiveness of n-gram and sentiment lexicon features, and problem-specified structure features for citation sentiment analysis were then examined using the annotated corpus. The combined features from the word n-grams, the sentiment lexicons and the structure information achieved the highest Micro F-score of 0.860 and Macro-F score of 0.719, indicating that it is feasible to use machine learning methods for citation sentiment analysis in biomedical publications. A comprehensive comparison between citation sentiment analysis of clinical trial papers and other general domains were conducted, which additionally highlights the unique challenges within this domain.

  8. ARCHITECTURE OF A SENTIMENT ANALYSIS PLATFORM

    Directory of Open Access Journals (Sweden)

    CRISTIAN BUCUR

    2015-06-01

    Full Text Available A new domain of research evolved in the last decade, called sentiment analysis that tries to extract knowledge from opinionated text documents. The article presents an overview of the domain and present an architecture of a system that could perform sentiment analysis processes. Based on previous researches are presented two methods for performing classification and the results obtained.

  9. A New Index of Housing Sentiment

    DEFF Research Database (Denmark)

    Bork, Lasse; Møller, Stig Vinther; Pedersen, Thomas Quistgaard

    We propose a new measure for housing sentiment and show that it accurately tracks expectations about future house price growth rates. We construct the housing sentiment index using partial least squares on questions related to consumers' opinions of buying conditions for houses from University...

  10. A New Index of Housing Sentiment

    DEFF Research Database (Denmark)

    Bork, Lasse; Møller, Stig Vinther; Pedersen, Thomas Quistgaard

    We propose a new measure for housing sentiment and show that it accurately tracks expectations about future house price growth rates. We construct the housing sentiment index using partial least squares on household survey responses to questions about buying conditions for houses. We …find...

  11. Sentimental Analysis for Airline Twitter data

    Science.gov (United States)

    Dutta Das, Deb; Sharma, Sharan; Natani, Shubham; Khare, Neelu; Singh, Brijendra

    2017-11-01

    Social Media has taken the world by surprise at a swift and commendable pace. With the advent of any kind of circumstances may it be related to social, political or current affairs the sentiments of people throughout the world are expressed through their help, making them suitable candidates for sentiment mining. Sentimental analysis becomes highly resourceful for any organization who wants to analyse and enhance their products and services. In the airline industries it is much easier to get feedback from astute data source such as Twitter, for conducting a sentiment analysis on their respective customers. The beneficial factors relating to twitter sentiment analysis cannot be impeded by the consumers who want to know the who’s who and what’s what in everyday life. In this paper we are classifying sentiment of Twitter messages by exhibiting results of a machine learning algorithm using R and Rapid Miner. The tweets are extracted and pre-processed and then categorizing them in neutral, negative and positive sentiments finally summarising the results as a whole. The Naive Bayes algorithm has been used for classifying the sentiments of recent tweets done on the different airlines.

  12. Sentiment analysis on tweets for social events

    DEFF Research Database (Denmark)

    Zhou, Xujuan; Tao, Xiaohui; Yong, Jianming

    2013-01-01

    Sentiment analysis or opinion mining is an important type of text analysis that aims to support decision making by extracting and analyzing opinion oriented text, identifying positive and negative opinions, and measuring how positively or negatively an entity (i.e., people, organization, event......, location, product, topic, etc.) is regarded. As more and more users express their political and religious views on Twitter, tweets become valuable sources of people's opinions. Tweets data can be efficiently used to infer people's opinions for marketing or social studies. This paper proposes a Tweets...... Sentiment Analysis Model (TSAM) that can spot the societal interest and general people's opinions in regard to a social event. In this paper, Australian federal election 2010 event was taken as an example for sentiment analysis experiments. We are primarily interested in the sentiment of the specific...

  13. Influence and Dissemination Of Sentiments in Social Network Communication Patterns

    DEFF Research Database (Denmark)

    Hillmann, Robert; Trier, Matthias

    2013-01-01

    Previous research suggests the existence of sentiments in online social networks. In comparison to real life human interaction, in which sentiments have been shown to have an influence on human behaviour, it is not yet completely understood which mechanisms explain how sentiments influence users ...... that express the same sentiment polarization. We interpret these findings and suggest future research to advance our currently limited theories that assume perceived and generalized social influence to path-dependent social influence models that consider actual behaviour....

  14. Aspect level sentiment analysis using machine learning

    Science.gov (United States)

    Shubham, D.; Mithil, P.; Shobharani, Meesala; Sumathy, S.

    2017-11-01

    In modern world the development of web and smartphones increases the usage of online shopping. The overall feedback about product is generated with the help of sentiment analysis using text processing.Opinion mining or sentiment analysis is used to collect and categorized the reviews of product. The proposed system uses aspect leveldetection in which features are extracted from the datasets. The system performs pre-processing operation such as tokenization, part of speech and limitization on the data tofinds meaningful information which is used to detect the polarity level and assigns rating to product. The proposed model focuses on aspects to produces accurate result by avoiding the spam reviews.

  15. Measuring Corporate Reputation using Sentiment Analysis

    DEFF Research Database (Denmark)

    Colleoni, Elanor; Arvidsson, Adam; Hansen, Lars K.

    and monitor reputation through the analysis of user generated content in real-time. In this paper, we show how social media content can be used to measure the online reputation of a company. Furthermore, we present an open platform that uses a sentiment analysis algorithm on twitter traffic to monitor...

  16. Sentiment classification with interpolated information diffusion kernels

    NARCIS (Netherlands)

    Raaijmakers, S.

    2007-01-01

    Information diffusion kernels - similarity metrics in non-Euclidean information spaces - have been found to produce state of the art results for document classification. In this paper, we present a novel approach to global sentiment classification using these kernels. We carry out a large array of

  17. The Asymmetric Predictive Effects of Investor Sentiment

    DEFF Research Database (Denmark)

    Lutz, Chandler

    investors only act as corrective force during certain time periods. We also show that our index predicts implied volatility, media pessimism, and mutual fund flows. Overall, our findings are consistent with both the theories and anecdotal accounts of investor sentiment in the stock market....

  18. The Asymmetric Effects of Investor Sentiment

    DEFF Research Database (Denmark)

    Lutz, Chandler

    investors only act as corrective force during certain time periods. We also show that our index predicts implied volatility, media pessimism, and mutual fund flows. Overall, our findings are consistent with both the theories and anecdotal accounts of investor sentiment in the stock market....

  19. Towards sentiment analysis application in housing projects

    Science.gov (United States)

    Mahadzir, Nurul Husna; Omar, Mohd Faizal; Nawi, Mohd Nasrun Mohd

    2016-08-01

    In becoming a develop nation by 2020, Malaysia Government realized the need in providing affordable house to the public. Since Second Malaysia Plan, government has implemented various affordable housing projects and it continues until recent Malaysia Plan. To measure the effectiveness of the initiatives taken, public opinion is necessary. A social media platform has been seen as the most effective mechanism to get information on people's thought and feeling towards certain issues. One of the best ways to extract emotions and thoughts from what people post in social media is through Sentiment Analysis (SA). There are three different levels of analysis: document level, sentence level and feature level. Most of previous research focused on the classification of sentiment at document or sentence level. Unfortunately, both document and sentence level does not discover what exactly people like or not. While the analysis based on feature, there exist accuracy problem when classifying the sentiment scores. This paper will propose a new framework that focuses on sentiment classification scores at feature level to overcome the uncertainty and accuracy issues on the result.

  20. Anti-Globalization or Alter-Globalization? Mapping the Political Ideology of the Global Justice Movement

    NARCIS (Netherlands)

    B. Steger, Manfred; Wilson, E.K.

    Steger, Manfred B. and Erin K. Wilson. (2012) Anti-Globalization or Alter-Globalization? Mapping the Political Ideology of the Global Justice Movement. International Studies Quarterly, doi: 10.1111/j.1468-2478.2012.00740.x?(c) 2012 International Studies Association Globalization has unsettled

  1. Quantifying Sentiment and Influence in Blogspaces

    Energy Technology Data Exchange (ETDEWEB)

    Hui, Peter SY; Gregory, Michelle L.

    2010-07-25

    The weblog, or blog, has become a popular form of social media, through which authors can write posts, which can in turn generate feedback in the form of user comments. When considered in totality, a collection of blogs can thus be viewed as a sort of informal collection of mass sentiment and opinion. An obvious topic of interest might be to mine this collection to obtain some gauge of public sentiment over the wide variety of topics contained therein. However, the sheer size of the so-called blogosphere, combined with the fact that the subjects of posts can vary over a practically limitless number of topics poses some serious challenges when any meaningful analysis is attempted. Namely, the fact that largely anyone with access to the Internet can author their own blog, raises the serious issue of credibility— should some blogs be considered to be more influential than others, and consequently, when gauging sentiment with respect to a topic, should some blogs be weighted more heavily than others? In addition, as new posts and comments can be made on almost a constant basis, any blog analysis algorithm must be able to handle such updates efficiently. In this paper, we give a formalization of the blog model. We give formal methods of quantifying sentiment and influence with respect to a hierarchy of topics, with the specific aim of facilitating the computation of a per-topic, influence-weighted sentiment measure. Finally, as efficiency is a specific endgoal, we give upper bounds on the time required to update these values with new posts, showing that our analysis and algorithms are scalable.

  2. Sentiment Polarization and Balance among Users in Online Social Networks

    DEFF Research Database (Denmark)

    Hillmann, Robert; Trier, Matthias

    2012-01-01

    Communication within online social network applications enables users to express and share sentiments electronically. Existing studies examined the existence or distribution of sentiments in online communication at a general level or in small-observed groups. Our paper extends this research...... by analyzing sentiment exchange within social networks from an ego-network perspective. We draw from research on social influence and social attachment to develop theories of node polarization, balance effects and sentiment mirroring within communication dyads. Our empirical analysis covers a multitude...... of social networks in which the sentiment valence of all messages was determined. Subsequently we studied ego-networks of focal actors (ego) and their immediate contacts. Results support our theories and indicate that actors develop polarized sentiments towards individual peers but keep sentiment in balance...

  3. Sentiment classification technology based on Markov logic networks

    Science.gov (United States)

    He, Hui; Li, Zhigang; Yao, Chongchong; Zhang, Weizhe

    2016-07-01

    With diverse online media emerging, there is a growing concern of sentiment classification problem. At present, text sentiment classification mainly utilizes supervised machine learning methods, which feature certain domain dependency. On the basis of Markov logic networks (MLNs), this study proposed a cross-domain multi-task text sentiment classification method rooted in transfer learning. Through many-to-one knowledge transfer, labeled text sentiment classification, knowledge was successfully transferred into other domains, and the precision of the sentiment classification analysis in the text tendency domain was improved. The experimental results revealed the following: (1) the model based on a MLN demonstrated higher precision than the single individual learning plan model. (2) Multi-task transfer learning based on Markov logical networks could acquire more knowledge than self-domain learning. The cross-domain text sentiment classification model could significantly improve the precision and efficiency of text sentiment classification.

  4. Maintaining Sentiment Polarity in Translation of User-Generated Content

    Directory of Open Access Journals (Sweden)

    Lohar Pintu

    2017-06-01

    Full Text Available The advent of social media has shaken the very foundations of how we share information, with Twitter, Facebook, and Linkedin among many well-known social networking platforms that facilitate information generation and distribution. However, the maximum 140-character restriction in Twitter encourages users to (sometimes deliberately write somewhat informally in most cases. As a result, machine translation (MT of user-generated content (UGC becomes much more difficult for such noisy texts. In addition to translation quality being affected, this phenomenon may also negatively impact sentiment preservation in the translation process. That is, a sentence with positive sentiment in the source language may be translated into a sentence with negative or neutral sentiment in the target language. In this paper, we analyse both sentiment preservation and MT quality per se in the context of UGC, focusing especially on whether sentiment classification helps improve sentiment preservation in MT of UGC. We build four different experimental setups for tweet translation (i using a single MT model trained on the whole Twitter parallel corpus, (ii using multiple MT models based on sentiment classification, (iii using MT models including additional out-of-domain data, and (iv adding MT models based on the phrase-table fill-up method to accompany the sentiment translation models with an aim of improving MT quality and at the same time maintaining sentiment polarity preservation. Our empirical evaluation shows that despite a slight deterioration in MT quality, our system significantly outperforms the Baseline MT system (without using sentiment classification in terms of sentiment preservation. We also demonstrate that using an MT engine that conveys a sentiment different from that of the UGC can even worsen both the translation quality and sentiment preservation.

  5. Sentiment Polarity Analysis based multi-dictionary

    Science.gov (United States)

    Jiao, Jian; Zhou, Yanquan

    This paper presents a novel algorithm for Chinese online reviews, which identifies sentiment polarity. To determine the sentence is negative or positive, we extracted opinion words and identified their opinion targets by CRFs and establish the absolute emotional dictionary (AbED), the relative emotional dictionary (ReED), the field of emotional dictionary (FiED) and the field of targets and opinion words dictionary (TfED). With those emotional dictionary, negative dictionary and modified dictionary, we achieved an effective algorithm to discriminate sentiment polarity by multi-string pattern matching algorithm. For evaluation, we used car online reviews, hotel online reviews and computer online reviews which annotated positive or negative. Experimental results show that our proposed method has made a higher precision and recall rate.

  6. Semantic Sentiment Analysis in Arabic Social Media

    Directory of Open Access Journals (Sweden)

    Samir Tartir

    2017-04-01

    Full Text Available Social media is a huge source of information. And is increasingly being used by governments, companies, and marketers to understand how the crowd thinks. Sentiment analysis aims to determine the attitudes of a group of people that are using one or more social media platforms with respect to a certain topic. In this paper, we propose a semantic approach to discover user attitudes and business insights from social media in Arabic, both standard and dialects. We also introduce the first version of our Arabic Sentiment Ontology (ASO that contains different words that express feelings and how strongly these words express these feelings. We then show the usability of our approach in classifying different Twitter feeds on different topics.

  7. Predicting Cyber Events by Leveraging Hacker Sentiment

    OpenAIRE

    Deb, Ashok; Lerman, Kristina; Ferrara, Emilio

    2018-01-01

    Recent high-profile cyber attacks exemplify why organizations need better cyber defenses. Cyber threats are hard to accurately predict because attackers usually try to mask their traces. However, they often discuss exploits and techniques on hacking forums. The community behavior of the hackers may provide insights into groups' collective malicious activity. We propose a novel approach to predict cyber events using sentiment analysis. We test our approach using cyber attack data from 2 major ...

  8. A mathematical model of sentimental dynamics accounting for marital dissolution.

    Science.gov (United States)

    Rey, José-Manuel

    2010-03-31

    Marital dissolution is ubiquitous in western societies. It poses major scientific and sociological problems both in theoretical and therapeutic terms. Scholars and therapists agree on the existence of a sort of second law of thermodynamics for sentimental relationships. Effort is required to sustain them. Love is not enough. Building on a simple version of the second law we use optimal control theory as a novel approach to model sentimental dynamics. Our analysis is consistent with sociological data. We show that, when both partners have similar emotional attributes, there is an optimal effort policy yielding a durable happy union. This policy is prey to structural destabilization resulting from a combination of two factors: there is an effort gap because the optimal policy always entails discomfort and there is a tendency to lower effort to non-sustaining levels due to the instability of the dynamics. These mathematical facts implied by the model unveil an underlying mechanism that may explain couple disruption in real scenarios. Within this framework the apparent paradox that a union consistently planned to last forever will probably break up is explained as a mechanistic consequence of the second law.

  9. A mathematical model of sentimental dynamics accounting for marital dissolution.

    Directory of Open Access Journals (Sweden)

    José-Manuel Rey

    Full Text Available BACKGROUND: Marital dissolution is ubiquitous in western societies. It poses major scientific and sociological problems both in theoretical and therapeutic terms. Scholars and therapists agree on the existence of a sort of second law of thermodynamics for sentimental relationships. Effort is required to sustain them. Love is not enough. METHODOLOGY/PRINCIPAL FINDINGS: Building on a simple version of the second law we use optimal control theory as a novel approach to model sentimental dynamics. Our analysis is consistent with sociological data. We show that, when both partners have similar emotional attributes, there is an optimal effort policy yielding a durable happy union. This policy is prey to structural destabilization resulting from a combination of two factors: there is an effort gap because the optimal policy always entails discomfort and there is a tendency to lower effort to non-sustaining levels due to the instability of the dynamics. CONCLUSIONS/SIGNIFICANCE: These mathematical facts implied by the model unveil an underlying mechanism that may explain couple disruption in real scenarios. Within this framework the apparent paradox that a union consistently planned to last forever will probably break up is explained as a mechanistic consequence of the second law.

  10. An effective convolutional neural network model for Chinese sentiment analysis

    Science.gov (United States)

    Zhang, Yu; Chen, Mengdong; Liu, Lianzhong; Wang, Yadong

    2017-06-01

    Nowadays microblog is getting more and more popular. People are increasingly accustomed to expressing their opinions on Twitter, Facebook and Sina Weibo. Sentiment analysis of microblog has received significant attention, both in academia and in industry. So far, Chinese microblog exploration still needs lots of further work. In recent years CNN has also been used to deal with NLP tasks, and already achieved good results. However, these methods ignore the effective use of a large number of existing sentimental resources. For this purpose, we propose a Lexicon-based Sentiment Convolutional Neural Networks (LSCNN) model focus on Weibo's sentiment analysis, which combines two CNNs, trained individually base on sentiment features and word embedding, at the fully connected hidden layer. The experimental results show that our model outperforms the CNN model only with word embedding features on microblog sentiment analysis task.

  11. Sentiment analysis and ontology engineering an environment of computational intelligence

    CERN Document Server

    Chen, Shyi-Ming

    2016-01-01

    This edited volume provides the reader with a fully updated, in-depth treatise on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of models of sentiment analysis and ontology –oriented engineering. The volume involves studies devoted to key issues of sentiment analysis, sentiment models, and ontology engineering. The book is structured into three main parts. The first part offers a comprehensive and prudently structured exposure to the fundamentals of sentiment analysis and natural language processing. The second part consists of studies devoted to the concepts, methodologies, and algorithmic developments elaborating on fuzzy linguistic aggregation to emotion analysis, carrying out interpretability of computational sentiment models, emotion classification, sentiment-oriented information retrieval, a methodology of adaptive dynamics in knowledge acquisition. The third part includes a plethora of applica...

  12. Social Media Sentiment Analysis and Topic Detection for Singapore English

    Science.gov (United States)

    2013-09-01

    study of NLP techniques,” La Revista de Procesamiento de Lenguaje Natural , vol. 50, pp. 45–52, 2013. [5] F. Batista, and R. Ribeiro, “Sentiment...have been made possible via social-media applications. Sentiment analysis and topic detection are two growing areas in Natural Language Processing...social-media applications. Sentiment analysis and topic detection are two growing areas in Natural Language Processing, and there are increasing

  13. Weibo sentiments and stock return: A time-frequency view.

    Science.gov (United States)

    Xu, Yingying; Liu, Zhixin; Zhao, Jichang; Su, Chiwei

    2017-01-01

    This study provides new insights into the relationships between social media sentiments and the stock market in China. Based on machine learning, we classify microblogs posted on Sina Weibo, a Twitter's variant in China into five detailed sentiments of anger, disgust, fear, joy, and sadness. Using wavelet analysis, we find close positive linkages between sentiments and the stock return, which have both frequency and time-varying features. Five detailed sentiments are positively related to the stock return for certain periods, particularly since October 2014 at medium to high frequencies of less than ten trading days, when the stock return is undergoing significant fluctuations. Sadness appears to have a closer relationship with the stock return than the other four sentiments. As to the lead-lag relationships, the stock return causes Weibo sentiments rather than reverse for most of the periods with significant linkages. Compared with polarity sentiments (negative vs. positive), detailed sentiments provide more information regarding relationships between Weibo sentiments and the stock market. The stock market exerts positive effects on bullishness and agreement of microblogs. Meanwhile, agreement leads the stock return in-phase at the frequency of approximately 40 trading days, indicating that less disagreement improves certainty about the stock market.

  14. Weibo sentiments and stock return: A time-frequency view.

    Directory of Open Access Journals (Sweden)

    Yingying Xu

    Full Text Available This study provides new insights into the relationships between social media sentiments and the stock market in China. Based on machine learning, we classify microblogs posted on Sina Weibo, a Twitter's variant in China into five detailed sentiments of anger, disgust, fear, joy, and sadness. Using wavelet analysis, we find close positive linkages between sentiments and the stock return, which have both frequency and time-varying features. Five detailed sentiments are positively related to the stock return for certain periods, particularly since October 2014 at medium to high frequencies of less than ten trading days, when the stock return is undergoing significant fluctuations. Sadness appears to have a closer relationship with the stock return than the other four sentiments. As to the lead-lag relationships, the stock return causes Weibo sentiments rather than reverse for most of the periods with significant linkages. Compared with polarity sentiments (negative vs. positive, detailed sentiments provide more information regarding relationships between Weibo sentiments and the stock market. The stock market exerts positive effects on bullishness and agreement of microblogs. Meanwhile, agreement leads the stock return in-phase at the frequency of approximately 40 trading days, indicating that less disagreement improves certainty about the stock market.

  15. Weibo sentiments and stock return: A time-frequency view

    Science.gov (United States)

    Liu, Zhixin; Zhao, Jichang; Su, Chiwei

    2017-01-01

    This study provides new insights into the relationships between social media sentiments and the stock market in China. Based on machine learning, we classify microblogs posted on Sina Weibo, a Twitter’s variant in China into five detailed sentiments of anger, disgust, fear, joy, and sadness. Using wavelet analysis, we find close positive linkages between sentiments and the stock return, which have both frequency and time-varying features. Five detailed sentiments are positively related to the stock return for certain periods, particularly since October 2014 at medium to high frequencies of less than ten trading days, when the stock return is undergoing significant fluctuations. Sadness appears to have a closer relationship with the stock return than the other four sentiments. As to the lead-lag relationships, the stock return causes Weibo sentiments rather than reverse for most of the periods with significant linkages. Compared with polarity sentiments (negative vs. positive), detailed sentiments provide more information regarding relationships between Weibo sentiments and the stock market. The stock market exerts positive effects on bullishness and agreement of microblogs. Meanwhile, agreement leads the stock return in-phase at the frequency of approximately 40 trading days, indicating that less disagreement improves certainty about the stock market. PMID:28672026

  16. Sentiment Analysis Based on Psychological and Linguistic Features for Spanish Language

    KAUST Repository

    Salas-Zárate, María Pilar

    2017-03-14

    Recent research activities in the areas of opinion mining, sentiment analysis and emotion detection from natural language texts are gaining ground under the umbrella of affective computing. Nowadays, there is a huge amount of text data available in the Social Media (e.g. forums, blogs, and social networks) concerning to users’ opinions about experiences buying products and hiring services. Sentiment analysis or opinion mining is the field of study that analyses people’s opinions and mood from written text available on the Web. In this paper, we present extensive experiments to evaluate the effectiveness of the psychological and linguistic features for sentiment classification. To this purpose, we have used four psycholinguistic dimensions obtained from LIWC, and one stylometric dimension obtained from WordSmith, for the subsequent training of the SVM, Naïve Bayes, and J48 algorithms. Also, we create a corpus of tourist reviews from the travel website TripAdvisor. The findings reveal that the stylometric dimension is quite feasible for sentiment classification. Finally, with regard to the classifiers, SVM provides better results than Naïve Bayes and J48 with an F-measure rate of 90.8%.

  17. Lexicon-based sentient analysis by mapping conveyed sentiment to intended sentiment

    NARCIS (Netherlands)

    Hogenboom, A.; Bal, M.; Frasincar, F.; Bal, D.; Kaymak, U.; De Jong, F.

    2014-01-01

    As consumers nowadays generate increasingly more content describing their experiences with, e.g., products and brands in various languages, information systems monitoring a universal, language-independent measure of peoples intended sentiment are crucial for todays businesses. In order to facilitate

  18. Determining negation scope and strength in sentiment analysis

    NARCIS (Netherlands)

    Hogenboom, A.C.; Iterson, van P.; Heerschop, B.M.W.T.; Frasincar, F.; Kaymak, U.

    2011-01-01

    A key element for decision makers to track is their stakeholders' sentiment. Recent developments show a tendency of including various aspects other than word frequencies in automated sentiment analysis approaches. One of these aspects is negation, which can be accounted for in various ways. We

  19. Accentuate the Positive: Positive Sentiments and Status in Task Groups

    Science.gov (United States)

    Bianchi, Alison J.; Lancianese, Donna A.

    2007-01-01

    We explore the capacity of positive sentiments, those enduring affective states one achieves when one likes another, to impact status structures. Do positive sentiments combine with existing aspects of interaction to create status hierarchies and potentially change the social order, or do they moderate the effects of extant structure by dampening…

  20. Topic Modeling in Sentiment Analysis: A Systematic Review

    Directory of Open Access Journals (Sweden)

    Toqir Ahmad Rana

    2016-06-01

    Full Text Available With the expansion and acceptance of Word Wide Web, sentiment analysis has become progressively popular research area in information retrieval and web data analysis. Due to the huge amount of user-generated contents over blogs, forums, social media, etc., sentiment analysis has attracted researchers both in academia and industry, since it deals with the extraction of opinions and sentiments. In this paper, we have presented a review of topic modeling, especially LDA-based techniques, in sentiment analysis. We have presented a detailed analysis of diverse approaches and techniques, and compared the accuracy of different systems among them. The results of different approaches have been summarized, analyzed and presented in a sophisticated fashion. This is the really effort to explore different topic modeling techniques in the capacity of sentiment analysis and imparting a comprehensive comparison among them.

  1. A Peculiar Sentiment Analysis Advancement in Big Data

    Science.gov (United States)

    Valera, Manisha; Patel, Yash

    2018-01-01

    Every company wants to discover what its customers feel about it. But sentiment analysis can get coarser and turn inward to improve employee as well as customers’ satisfaction. A term called sentiment analysis, or the mathematical taxonomy of statements’ negative or positive connotations, gives companies potent ways to analyse cumulative language data across all sorts of communications. There’s real value in measuring sentiment inside and outside your company. Our big data experts analyse the core grounds of the problems raised while handling giant datasets and find solutions to efficiently manage massive datasets with ease. We built a sentiment analysis solution to measure positive and negative sentiments with top rating products for Amazon.com‘s Electronics products as against competitor products.

  2. A Sentiment Delivering Estimate Scheme Based on Trust Chain in Mobile Social Network

    Directory of Open Access Journals (Sweden)

    Meizi Li

    2015-01-01

    Full Text Available User sentiment analysis has become a flourishing frontier in data mining mobile social network platform since the mobile social network plays a significant role in users’ daily communication and sentiment interaction. This study studies the scheme of sentiment estimate by using the users’ trustworthy relationships for evaluating sentiment delivering. First, we address an overview of sentiment delivering estimate scheme and propose its related definitions, that is, trust chain among users, sentiment semantics, and sentiment ontology. Second, this study proposes the trust chain model and its evaluation method, which is composed of evaluation of atomic, serial, parallel, and combined trust chains. Then, we propose sentiment modeling method by presenting its modeling rules. Further, we propose the sentiment delivering estimate scheme from two aspects: explicit and implicit sentiment delivering estimate schemes, based on trust chain and sentiment modeling method. Finally, examinations and results are given to further explain effectiveness and feasibility of our scheme.

  3. Building an Arabic Sentiment Lexicon Using Semi-supervised Learning

    Directory of Open Access Journals (Sweden)

    Fawaz H.H. Mahyoub

    2014-12-01

    Full Text Available Sentiment analysis is the process of determining a predefined sentiment from text written in a natural language with respect to the entity to which it is referring. A number of lexical resources are available to facilitate this task in English. One such resource is the SentiWordNet, which assigns sentiment scores to words found in the English WordNet. In this paper, we present an Arabic sentiment lexicon that assigns sentiment scores to the words found in the Arabic WordNet. Starting from a small seed list of positive and negative words, we used semi-supervised learning to propagate the scores in the Arabic WordNet by exploiting the synset relations. Our algorithm assigned a positive sentiment score to more than 800, a negative score to more than 600 and a neutral score to more than 6000 words in the Arabic WordNet. The lexicon was evaluated by incorporating it into a machine learning-based classifier. The experiments were conducted on several Arabic sentiment corpora, and we were able to achieve a 96% classification accuracy.

  4. Wealth dynamics in a sentiment-driven market

    Science.gov (United States)

    Goykhman, Mikhail

    2017-12-01

    We study dynamics of a simulated world with stock and money, driven by the externally given processes which we refer to as sentiments. The considered sentiments influence the buy/sell stock trading attitude, the perceived price uncertainty, and the trading intensity of all or a part of the market participants. We study how the wealth of market participants evolves in time in such an environment. We discuss the opposite perspective in which the parameters of the sentiment processes can be inferred a posteriori from the observed market behavior.

  5. Using Social Media Sentiment Analysis for Interaction Design Choices

    DEFF Research Database (Denmark)

    McGuire, Mark; Kampf, Constance Elizabeth

    2015-01-01

    Social media analytics is an emerging skill for organizations. Currently, developers are exploring ways to create tools for simplifying social media analysis. These tools tend to focus on gathering data, and using systems to make it meaningful. However, we contend that making social media data...... meaningful is by nature a human-computer interaction problem. We examine this problem around the emerging field of sentiment analysis, exploring criteria for designing sentiment analysis systems based in Human Computer interaction, HCI. We contend that effective sentiment analysis affects audience analysis...

  6. Sarcastic sentiment detection in tweets streamed in real time: a big data approach

    Directory of Open Access Journals (Sweden)

    S.K. Bharti

    2016-08-01

    Full Text Available Sarcasm is a type of sentiment where people express their negative feelings using positive or intensified positive words in the text. While speaking, people often use heavy tonal stress and certain gestural clues like rolling of the eyes, hand movement, etc. to reveal sarcastic. In the textual data, these tonal and gestural clues are missing, making sarcasm detection very difficult for an average human. Due to these challenges, researchers show interest in sarcasm detection of social media text, especially in tweets. Rapid growth of tweets in volume and its analysis pose major challenges. In this paper, we proposed a Hadoop based framework that captures real time tweets and processes it with a set of algorithms which identifies sarcastic sentiment effectively. We observe that the elapse time for analyzing and processing under Hadoop based framework significantly outperforms the conventional methods and is more suited for real time streaming tweets.

  7. Arabic Feature-Based Level Sentiment Analysis Using Lexicon ...

    African Journals Online (AJOL)

    pc

    2018-03-05

    Mar 5, 2018 ... structured reviews being prior knowledge for mining unstructured reviews. ... FDSO has been introduced, which defines a space of product features ... polarity of a review using feature ontology and sentiment lexicons.

  8. Optimizing Short Message Text Sentiment Analysis for Mobile Device Forensics

    OpenAIRE

    Aboluwarin , Oluwapelumi; Andriotis , Panagiotis; Takasu , Atsuhiro; Tryfonas , Theo

    2016-01-01

    Part 2: MOBILE DEVICE FORENSICS; International audience; Mobile devices are now the dominant medium for communications. Humans express various emotions when communicating with others and these communications can be analyzed to deduce their emotional inclinations. Natural language processing techniques have been used to analyze sentiment in text. However, most research involving sentiment analysis in the short message domain (SMS and Twitter) do not account for the presence of non-dictionary w...

  9. THE EFFECT OF INVESTOR SENTIMENT ON ISE SECTOR INDICES

    Directory of Open Access Journals (Sweden)

    SERPİL CANBAŞ

    2013-06-01

    Full Text Available Determining the factors that affect stock returns is one of the most investigated topics of the finance literature. A number of models have been developed to explain stock returns. Some of these models maintain that stock returns are generated rationally. These models are, Capital Asset Pricing Model, Index Models, Arbitrage Pricing Model and Macroeconomic Factor Models. Nevertheless, these models could not have explained stock returns, although they have used different parameters and methods. Some studies have maintained that investor psychology would have a role in the stock return generation process. There are three theories that investigate the effect of investor psychology on financial markets: Mental accounting theory, herd behavior theory and investor sentiment theory. The aim of this study is to investigate the effect of investor sentiment on stock returns. In this context, three investor sentiment proxies have been determined in the light of previous studies. These proxies are closed-end fund discount, average fund flow of mutual funds and the ratio of net stock purchases of foreign investors to ISE market capitalization. ISE sector indices are used to proxy stock returns. On the other hand, there is a possibility that investor sentiment would merely reflect economic innovations. Some economic factors are used as control variables in order to examine this possibility. Regression analyses are employed for investigating the effect of investor sentiment on stock returns. Findings suggest that investor sentiment affect stock returns systematically. This finding keeps its robustness when economic variables are added to the model.

  10. Selling Sentiment: The Commodification of Emotion in Victorian Visual Culture

    Directory of Open Access Journals (Sweden)

    Sonia Solicari

    2007-04-01

    Full Text Available This essay argues that the Victorian sentimental impulse was motivated by the sharing of emotion and the dynamics of communal and interactive feeling. Integral to the popularity of sentiment was its recognition factor by means of established tropes and conventions. Arguably, the same familiarity that made narrative art accessible also made advertising successful and many of the same motifs ran from exhibition watercolours to book illustration to posters. Works of sentiment operated as emotional souvenirs so that material proof of feeling could be easily digested, displayed and revisited. The essay looks closer at the investment of emotion in ephemeral images, such as music-sheet covers, and the ways in which forms of feeling were standardised and reproduced in keeping with a new art-buying public and the possibilities of wider image dissemination. Focusing upon issues raised during the curation of a current exhibition at the Victoria and Albert Museum ( 'A Show of Emotion: Victorian Sentiment in Prints and Drawings', 7 Dec 2006 – 10 Sep 2007 this essay explores the ways in which the sentimental pervaded nineteenth-century visual culture and how, in the cut-throat commercial world of image production, sentiment became manifest and identifiable if only as a notional phenomenon.

  11. Telkom UData sentiment analysis using crowdsourcing and trust

    Science.gov (United States)

    Noer, Edvya; Sulistyo Kusumo, Dana; Rusmawati, Yanti

    2018-03-01

    Microblogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. Sentiments analysis are often being used to analyse the user customer opinions regarding brand images or products. For some reasons, not all sentiment generated using this existing machine-based algorithms yields satisfying results. This is mostly due to the uniformity of the informal language used in the social media sentences. This condition also occurs in Telkom UData on our preliminary study, where the machine-based provided less then optimal results in analysing the sentiment. This research offers concepts with human interaction using crowdsourcing where people are involved to analyse sentiments, while forming the new training dataset at the same time. From the research results found that sarcastic and contradictory sentences can be recognized by humans, to be utilized as new training datasets for further machine learning. From this experiments, that approach are likely increase the accuracy of the sentiments in UData from neutral to become positive or negative polarized up to 39%. We do as well simulated trust concept through sociometric to ensure the crowdsource workers are trusted and capable enough in analysing the sentiments on social media.

  12. Knowing the Other/Other Ways of Knowing: Indigenous Feminism, Testimonial, and Anti-Globalization Street Discourse

    Science.gov (United States)

    Dulfano, Isabel

    2017-01-01

    In this article, I explore the relationship between anti-globalization counter hegemonic discourse and Indigenous feminist alternative knowledge production. Although seemingly unrelated, the autoethnographic writing of some Indigenous feminists from Latin America questions the assumptions and presuppositions of Western development models and…

  13. Using Sentiment Analysis to Observe How Science is Communicated

    Science.gov (United States)

    Topping, David; Illingworth, Sam

    2016-04-01

    'Citizen Science' and 'Big data' are terms that are currently ubiquitous in the field of science communication. Whilst opinions differ as to what exactly constitutes a 'citizen', and how much information is needed in order for a data set to be considered truly 'big', what is apparent is that both of these fields have the potential to help revolutionise not just the way that science is communicated, but also the way that it is conducted. However, both the generation of sufficient data, and the efficiency of then analysing the data once it has been analysed need to be taken into account. Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. The process of sentiment analysis can be automated, providing that an adequate training set has been used, and that the nuances that are associated with a particular topic have been accounted for. Given the large amounts of data that are generated by social media posts, and the often-opinionated nature of these posts, they present an ideal source of data to both train with and then scrutinize using sentiment analysis. In this work we will demonstrate how sentiment analysis can be used to examine a large number of Twitter posts, and how a training set can be established to ensure consistency and accuracy in the automation. Following an explanation of the process, we will demonstrate how automated sentiment analysis can be used to categorise opinions in relation to a large-scale science festival, and will discuss if sentiment analysis can be used to tell us if there is a bias in these communications. We will also investigate if sentiment analysis can be used to replace more traditional, and invasive evaluation strategies, and how this approach can then be adopted to investigate other topics, both within scientific communication and in the wider scientific context.

  14. Semantic network analysis of vaccine sentiment in online social media.

    Science.gov (United States)

    Kang, Gloria J; Ewing-Nelson, Sinclair R; Mackey, Lauren; Schlitt, James T; Marathe, Achla; Abbas, Kaja M; Swarup, Samarth

    2017-06-22

    To examine current vaccine sentiment on social media by constructing and analyzing semantic networks of vaccine information from highly shared websites of Twitter users in the United States; and to assist public health communication of vaccines. Vaccine hesitancy continues to contribute to suboptimal vaccination coverage in the United States, posing significant risk of disease outbreaks, yet remains poorly understood. We constructed semantic networks of vaccine information from internet articles shared by Twitter users in the United States. We analyzed resulting network topology, compared semantic differences, and identified the most salient concepts within networks expressing positive, negative, and neutral vaccine sentiment. The semantic network of positive vaccine sentiment demonstrated greater cohesiveness in discourse compared to the larger, less-connected network of negative vaccine sentiment. The positive sentiment network centered around parents and focused on communicating health risks and benefits, highlighting medical concepts such as measles, autism, HPV vaccine, vaccine-autism link, meningococcal disease, and MMR vaccine. In contrast, the negative network centered around children and focused on organizational bodies such as CDC, vaccine industry, doctors, mainstream media, pharmaceutical companies, and United States. The prevalence of negative vaccine sentiment was demonstrated through diverse messaging, framed around skepticism and distrust of government organizations that communicate scientific evidence supporting positive vaccine benefits. Semantic network analysis of vaccine sentiment in online social media can enhance understanding of the scope and variability of current attitudes and beliefs toward vaccines. Our study synthesizes quantitative and qualitative evidence from an interdisciplinary approach to better understand complex drivers of vaccine hesitancy for public health communication, to improve vaccine confidence and vaccination coverage

  15. Sentimento de democracia Sentiment of democracy

    Directory of Open Access Journals (Sweden)

    Rubem Barboza Filho

    2003-01-01

    Full Text Available Este artigo explora o papel que os valores, e um certo modo de vivê-los, pode ter para a consolidação da democracia no Brasil. Na primeira parte, mostra, com o auxílio de Charles Taylor, como a proposta de democracia deliberativa e procedimental de Habermas contempla as idéias de razão e interesse bem compreendidos, mas soterra a importância do ''sentimento bem compreendido'' - dos valores que a originaram historicamente. Na segunda parte, o artigo examina as grandes configurações expressivistas e não racionalistas de valores que conformaram a identidade brasileira - o barroco, o romantismo e o modernismo - e como esta tradição, e os valores que nela habitam, podem ser mobilizados para a nossa plena democratização e para a permanência dos próprios procedimentos democráticos.This article explores the role that values, and a way of experiencing them, may have to consolidate democracy in Brazil. The first part shows, with the assistance of Charles Taylor, how Habermas's procedural and deliberative democracy accounts for the ideas of reason and self-interest rightly understood, but not for the ''sentiment rightly understood'' - the values which have made it historically possible. The second part examines the great expressivist and non-rationalist configurations which have made up the Brazilian identity - Baroque, Romanticism and Modernism - and how this tradition, and the values which inhabit it, may be worked out for our full democratization and the keeping of the democratic proceduralism itself.

  16. Analyzing online sentiment to predict telephone poll results.

    Science.gov (United States)

    Fu, King-wa; Chan, Chee-hon

    2013-09-01

    The telephone survey is a common social science research method for capturing public opinion, for example, an individual's values or attitudes, or the government's approval rating. However, reducing domestic landline usage, increasing nonresponse rate, and suffering from response bias of the interviewee's self-reported data pose methodological challenges to such an approach. Because of the labor cost of administration, a phone survey is often conducted on a biweekly or monthly basis, and therefore a daily reflection of public opinion is usually not available. Recently, online sentiment analysis of user-generated content has been deployed to predict public opinion and human behavior. However, its overall effectiveness remains uncertain. This study seeks to examine the temporal association between online sentiment reflected in social media content and phone survey poll results in Hong Kong. Specifically, it aims to find the extent to which online sentiment can predict phone survey results. Using autoregressive integrated moving average time-series analysis, this study suggested that online sentiment scores can lead phone survey results by about 8-15 days, and their correlation coefficients were about 0.16. The finding is significant to the study of social media in social science research, because it supports the conclusion that daily sentiment observed in social media content can serve as a leading predictor for phone survey results, keeping as much as 2 weeks ahead of the monthly announcement of opinion polls. We also discuss the practical and theoretical implications of this study.

  17. Sentiment analysis of Arabic tweets using text mining techniques

    Science.gov (United States)

    Al-Horaibi, Lamia; Khan, Muhammad Badruddin

    2016-07-01

    Sentiment analysis has become a flourishing field of text mining and natural language processing. Sentiment analysis aims to determine whether the text is written to express positive, negative, or neutral emotions about a certain domain. Most sentiment analysis researchers focus on English texts, with very limited resources available for other complex languages, such as Arabic. In this study, the target was to develop an initial model that performs satisfactorily and measures Arabic Twitter sentiment by using machine learning approach, Naïve Bayes and Decision Tree for classification algorithms. The datasets used contains more than 2,000 Arabic tweets collected from Twitter. We performed several experiments to check the performance of the two algorithms classifiers using different combinations of text-processing functions. We found that available facilities for Arabic text processing need to be made from scratch or improved to develop accurate classifiers. The small functionalities developed by us in a Python language environment helped improve the results and proved that sentiment analysis in the Arabic domain needs lot of work on the lexicon side.

  18. Anomalies and Investor Sentiment: Empirical Evidences in the Brazilian Market

    Directory of Open Access Journals (Sweden)

    Gustavo Correia Xavier

    2017-10-01

    Full Text Available This study examined the relationship between investor sentiment and value anomalies in Brazil. In addition, it analyzed if pricing deviations caused by investors with optimistic views are different from those caused by pessimistic investors. The sample included all non-financial firms listed on the B3 (Brasil, Bolsa, Balcão stock exchange from July 1999 to June 2014. We used the Principal Component Analysis multivariate technique to capture the component common to four different proxies for investor sentiment. The study empirically tested the index series and its variation on the return series of Long-Short portfolios of 12 anomaly-based strategies. The study found that the measure of the sentiment index had a partial explanatory power for the anomalies only when included in the CAPM. Yet, when using the index sentiment changes as an explanatory variable, the study found a relationship with future returns, robust to all risk factors. Thus, it is possible to relate investor sentiment index to anomaly-based portfolio returns. When analyzing average returns after optimistic and pessimistic periods, the values we found in our empirical test were not statistically significant enough to infer the possible existence of short-sale constraints.

  19. Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis

    Directory of Open Access Journals (Sweden)

    Łukasz Augustyniak

    2015-12-01

    Full Text Available We propose a novel method for counting sentiment orientation that outperforms supervised learning approaches in time and memory complexity and is not statistically significantly different from them in accuracy. Our method consists of a novel approach to generating unigram, bigram and trigram lexicons. The proposed method, called frequentiment, is based on calculating the frequency of features (words in the document and averaging their impact on the sentiment score as opposed to documents that do not contain these features. Afterwards, we use ensemble classification to improve the overall accuracy of the method. What is important is that the frequentiment-based lexicons with sentiment threshold selection outperform other popular lexicons and some supervised learners, while being 3–5 times faster than the supervised approach. We compare 37 methods (lexicons, ensembles with lexicon’s predictions as input and supervised learners applied to 10 Amazon review data sets and provide the first statistical comparison of the sentiment annotation methods that include ensemble approaches. It is one of the most comprehensive comparisons of domain sentiment analysis in the literature.

  20. An Empirical Study of the Effect of Investor Sentiment on Returns of Different Industries

    Directory of Open Access Journals (Sweden)

    Chuangxia Huang

    2014-01-01

    Full Text Available Studies on investor sentiment are mostly focused on the stock market, but little attention has been paid to the effect of investor sentiment on the return of a specific industry. This paper constructs a proxy variable to examine the relationship between investor sentiment and the return of a specific industry, using the Principle Component Analysis, and finds that investor sentiment is positively correlated with the industry return of the current period and negatively correlated with that of one lag period; we classify investor sentiment as optimistic state and pessimistic state and find that optimistic investor sentiment has a positive effect on stock returns of most industries, while pessimistic investor sentiment has no effect on them; this paper further builds a two-state Markov regime switching model and finds that sentiment has different effect on different industries returns on different states of market.

  1. DEEP LEARNING MODEL FOR BILINGUAL SENTIMENT CLASSIFICATION OF SHORT TEXTS

    Directory of Open Access Journals (Sweden)

    Y. B. Abdullin

    2017-01-01

    Full Text Available Sentiment analysis of short texts such as Twitter messages and comments in news portals is challenging due to the lack of contextual information. We propose a deep neural network model that uses bilingual word embeddings to effectively solve sentiment classification problem for a given pair of languages. We apply our approach to two corpora of two different language pairs: English-Russian and Russian-Kazakh. We show how to train a classifier in one language and predict in another. Our approach achieves 73% accuracy for English and 74% accuracy for Russian. For Kazakh sentiment analysis, we propose a baseline method, that achieves 60% accuracy; and a method to learn bilingual embeddings from a large unlabeled corpus using a bilingual word pairs.

  2. Wavelets and Sentiment in the Heterogeneous Agents Model

    Czech Academy of Sciences Publication Activity Database

    Vácha, Lukáš; Vošvrda, Miloslav

    2008-01-01

    Roč. 15, č. 25 (2008), s. 41-56 ISSN 1212-074X R&D Projects: GA ČR GP402/08/P207; GA ČR GA402/07/1113; GA ČR(CZ) GA402/06/0990 Institutional research plan: CEZ:AV0Z10750506 Keywords : heterogeneous agents model * market sentiment * Hurst exponent * wavelets Subject RIV: AH - Economics http://library.utia.cas.cz/separaty/2008/E/vacha-wavelets and sentiment in the heterogeneous agents model.pdf

  3. Funciones de la novela sentimental hispanoamericana durante el siglo XIX

    OpenAIRE

    Zó, Ramiro

    2007-01-01

    Se analizará cómo funcionan los textos sentimentales hispanoamericanos en los lectores según dos modos de concebir la recepción de estas obras: la lectura en un “microambiente" de un lector/a sentimental-individual y la lectura en un “macroambiente" de varios lectores de novelas sentimentales. Así también, se pretende fijar las características fundamentales de la narrativa sentimental hispanoamericana en un conjunto de textos representativos de esta modalidad literaria. A su vez, este análisi...

  4. The relationship between SERVQUAL, national customer satisfaction indices & consumer sentiment

    DEFF Research Database (Denmark)

    Kristensen, Kai; Eskildsen, Jacob Kjær

    2008-01-01

    The focus of this study is to integrate SERVQUAL with a national customer satisfaction index in this context the EPSI Rating framework and explore the possible relationship with consumer sentiment measures. The data for this study comes from the Danish Customer Satisfaction Index 2007. Here app....... 1700 customers have evaluated their preferred bank. The questionnaire consists of two parts: the basic EPSI statement as well as 15 statements covering the 5 dimensions from SERVQUAL. Furthermore the respondents answered two questions related to consumer sentiment. The results show that both SERVQUAL...

  5. Toward understanding online sentiment expression: an interdisciplinary approach with subgroup comparison and visualization

    NARCIS (Netherlands)

    Gao, B.; Berendt, B.; Vanschoren, J.

    2016-01-01

    Understanding users’ sentiment expression in social media is important in many domains, such as marketing and online applications. Is one demographic group inherently different from another? Does a group express the same sentiment both in private and public? How can we compare the sentiments of

  6. Secular tolerance? : Anti‐Muslim sentiment in Western Europe

    NARCIS (Netherlands)

    Ribberink, E.C.; Achterberg, P.H.J.; Houtman, D.

    2017-01-01

    he literature about secularization proposes two distinct explanations of anti-Muslim sentiment in secularized societies. The first theory understands it in terms of religious competition between Muslims and the remaining minority of orthodox Protestants; the second understands it as resulting from

  7. Can Big Data Machines Analyze Stock Market Sentiment?

    Science.gov (United States)

    Dhar, Vasant

    2014-12-01

    Do the massive amounts of social and professionally curated data on the Internet contain useful sentiment about the market that "big data machines" can extract systematically? If so, what are the important challenges in creating economic value from these diffuse sources? In this commentary, I delve into these questions and frame the challenges involved using recent market developments as an illustrative backdrop.

  8. Toward a Critical-Sentimental Orientation in Human Rights Education

    Science.gov (United States)

    Zembylas, Michalinos

    2016-01-01

    This paper addresses one of the challenges in human rights education (HRE) concerning the conceptualization of a pedagogical orientation that avoids both the pitfalls of a purely juridical address and a "cheap sentimental" approach. The paper uses as its point of departure Richard Rorty's key intervention on human rights discourse and…

  9. Combining Formal Logic and Machine Learning for Sentiment Analysis

    DEFF Research Database (Denmark)

    Petersen, Niklas Christoffer; Villadsen, Jørgen

    2014-01-01

    This paper presents a formal logical method for deep structural analysis of the syntactical properties of texts using machine learning techniques for efficient syntactical tagging. To evaluate the method it is used for entity level sentiment analysis as an alternative to pure machine learning...

  10. Sentiment Analysis of Text Guided by Semantics and Structure

    NARCIS (Netherlands)

    A.C. Hogenboom (Alexander)

    2015-01-01

    textabstractAs moods and opinions play a pivotal role in various business and economic processes, keeping track of one's stakeholders' sentiment can be of crucial importance to decision makers. Today's abundance of user-generated content allows for the automated monitoring of the opinions of many

  11. Sexed Sentiments: Interdisciplinary Perspectives on Gender and Emotion

    NARCIS (Netherlands)

    Ruberg, W. G.; Steenbergh, K.

    2011-01-01

    Sexed Sentiments provides a gender perspective on the recent turn to affect in criticism. It presents new work by scholars from different disciplines working on gender and emotion, a field par excellence where an interdisciplinary focus is fruitful. This collection presents essays from disciplines

  12. SAFE: A Sentiment Analysis Framework for E-Learning

    Directory of Open Access Journals (Sweden)

    Francesco Colace

    2014-12-01

    Full Text Available The spread of social networks allows sharing opinions on different aspects of life and daily millions of messages appear on the web. This textual information can be a rich source of data for opinion mining and sentiment analysis: the computational study of opinions, sentiments and emotions expressed in a text. Its main aim is the identification of the agreement or disagreement statements that deal with positive or negative feelings in comments or reviews. In this paper, we investigate the adoption, in the field of the e-learning, of a probabilistic approach based on the Latent Dirichlet Allocation (LDA as Sentiment grabber. By this approach, for a set of documents belonging to a same knowledge domain, a graph, the Mixed Graph of Terms, can be automatically extracted. The paper shows how this graph contains a set of weighted word pairs, which are discriminative for sentiment classification. In this way, the system can detect the feeling of students on some topics and teacher can better tune his/her teaching approach. In fact, the proposed method has been tested on datasets coming from e-learning platforms. A preliminary experimental campaign shows how the proposed approach is effective and satisfactory.

  13. What determines the exchange rate: economic factors or market sentiment?

    OpenAIRE

    Gregory P. Hopper

    1997-01-01

    Do economic factors influence exchange rates? Or does market sentiment play a bigger role? Are short-run exchange rates predictable? Greg Hopper reviews exchange-rate economics, focusing on what is predictable and what isn't. He also examines the practical implications of exchange-rate theories for currency option pricing, risk management, and portfolio selection.

  14. The Effects of Twitter Sentiment on Stock Price Returns.

    Science.gov (United States)

    Ranco, Gabriele; Aleksovski, Darko; Caldarelli, Guido; Grčar, Miha; Mozetič, Igor

    2015-01-01

    Social media are increasingly reflecting and influencing behavior of other complex systems. In this paper we investigate the relations between a well-known micro-blogging platform Twitter and financial markets. In particular, we consider, in a period of 15 months, the Twitter volume and sentiment about the 30 stock companies that form the Dow Jones Industrial Average (DJIA) index. We find a relatively low Pearson correlation and Granger causality between the corresponding time series over the entire time period. However, we find a significant dependence between the Twitter sentiment and abnormal returns during the peaks of Twitter volume. This is valid not only for the expected Twitter volume peaks (e.g., quarterly announcements), but also for peaks corresponding to less obvious events. We formalize the procedure by adapting the well-known "event study" from economics and finance to the analysis of Twitter data. The procedure allows to automatically identify events as Twitter volume peaks, to compute the prevailing sentiment (positive or negative) expressed in tweets at these peaks, and finally to apply the "event study" methodology to relate them to stock returns. We show that sentiment polarity of Twitter peaks implies the direction of cumulative abnormal returns. The amount of cumulative abnormal returns is relatively low (about 1-2%), but the dependence is statistically significant for several days after the events.

  15. Creative participation: collective sentiment in online co-creation communities

    NARCIS (Netherlands)

    Lee, H.H.M.; van Dolen, W.

    2015-01-01

    Co-creation communities allow companies to utilize consumers’ creative thinking in the innovation process. This paper seeks to understand the role of sentiment in user co-creation. The results suggest that management style can affect the success of co-creation communities. Specific employees’

  16. Microblog sentiment analysis using social and topic context.

    Science.gov (United States)

    Zou, Xiaomei; Yang, Jing; Zhang, Jianpei

    2018-01-01

    Analyzing massive user-generated microblogs is very crucial in many fields, attracting many researchers to study. However, it is very challenging to process such noisy and short microblogs. Most prior works only use texts to identify sentiment polarity and assume that microblogs are independent and identically distributed, which ignore microblogs are networked data. Therefore, their performance is not usually satisfactory. Inspired by two sociological theories (sentimental consistency and emotional contagion), in this paper, we propose a new method combining social context and topic context to analyze microblog sentiment. In particular, different from previous work using direct user relations, we introduce structure similarity context into social contexts and propose a method to measure structure similarity. In addition, we also introduce topic context to model the semantic relations between microblogs. Social context and topic context are combined by the Laplacian matrix of the graph built by these contexts and Laplacian regularization are added into the microblog sentiment analysis model. Experimental results on two real Twitter datasets demonstrate that our proposed model can outperform baseline methods consistently and significantly.

  17. A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words.

    Science.gov (United States)

    Wang, Bingkun; Huang, Yongfeng; Wu, Xian; Li, Xing

    2015-01-01

    With the spurt of online user-generated contents on web, sentiment analysis has become a very active research issue in data mining and natural language processing. As the most important indicator of sentiment, sentiment words which convey positive and negative polarity are quite instrumental for sentiment analysis. However, most of the existing methods for identifying polarity of sentiment words only consider the positive and negative polarity by the Cantor set, and no attention is paid to the fuzziness of the polarity intensity of sentiment words. In order to improve the performance, we propose a fuzzy computing model to identify the polarity of Chinese sentiment words in this paper. There are three major contributions in this paper. Firstly, we propose a method to compute polarity intensity of sentiment morphemes and sentiment words. Secondly, we construct a fuzzy sentiment classifier and propose two different methods to compute the parameter of the fuzzy classifier. Thirdly, we conduct extensive experiments on four sentiment words datasets and three review datasets, and the experimental results indicate that our model performs better than the state-of-the-art methods.

  18. A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words

    Directory of Open Access Journals (Sweden)

    Bingkun Wang

    2015-01-01

    Full Text Available With the spurt of online user-generated contents on web, sentiment analysis has become a very active research issue in data mining and natural language processing. As the most important indicator of sentiment, sentiment words which convey positive and negative polarity are quite instrumental for sentiment analysis. However, most of the existing methods for identifying polarity of sentiment words only consider the positive and negative polarity by the Cantor set, and no attention is paid to the fuzziness of the polarity intensity of sentiment words. In order to improve the performance, we propose a fuzzy computing model to identify the polarity of Chinese sentiment words in this paper. There are three major contributions in this paper. Firstly, we propose a method to compute polarity intensity of sentiment morphemes and sentiment words. Secondly, we construct a fuzzy sentiment classifier and propose two different methods to compute the parameter of the fuzzy classifier. Thirdly, we conduct extensive experiments on four sentiment words datasets and three review datasets, and the experimental results indicate that our model performs better than the state-of-the-art methods.

  19. A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words

    Science.gov (United States)

    Huang, Yongfeng; Wu, Xian; Li, Xing

    2015-01-01

    With the spurt of online user-generated contents on web, sentiment analysis has become a very active research issue in data mining and natural language processing. As the most important indicator of sentiment, sentiment words which convey positive and negative polarity are quite instrumental for sentiment analysis. However, most of the existing methods for identifying polarity of sentiment words only consider the positive and negative polarity by the Cantor set, and no attention is paid to the fuzziness of the polarity intensity of sentiment words. In order to improve the performance, we propose a fuzzy computing model to identify the polarity of Chinese sentiment words in this paper. There are three major contributions in this paper. Firstly, we propose a method to compute polarity intensity of sentiment morphemes and sentiment words. Secondly, we construct a fuzzy sentiment classifier and propose two different methods to compute the parameter of the fuzzy classifier. Thirdly, we conduct extensive experiments on four sentiment words datasets and three review datasets, and the experimental results indicate that our model performs better than the state-of-the-art methods. PMID:26106409

  20. EFFECT OF INVESTOR SENTIMENT ON FUTURE RETURNS IN THE NIGERIAN STOCK MARKET

    Directory of Open Access Journals (Sweden)

    Udoka Bernard Alajekwu

    2017-06-01

    Full Text Available The study examined the effect of investor sentiment on future returns in the Nigerian stock market. The OLS regression and granger causality techniques were employed for data analyses. The results showed that (1 investor sentiment has a significant positive effect on stock market returns even after control for fundamentals such as Industrial production index, consumer price index and Treasury bill rate; (2 there is a uni-directional causality that runs from change in investor sentiment (ΔCCI to stock market returns (Rm. Derived finding showed that the inclusion of fundamentals increased the explanatory power of investor sentiment from 3.96% to 33.05%, though at both level, investor sentiment (ΔCCI has low explanatory power on stock market returns. The study posits existence of a dynamic relationship between investor sentiment and the behaviour of stock future returns in Nigeria such that higher sentiment concurrently leads to higher stock prices.

  1. Identifying Sentiment of Hookah-Related Posts on Twitter

    Science.gov (United States)

    Ramanujam, Jagannathan; Lerman, Kristina; Chu, Kar-Hai; Boley Cruz, Tess; Unger, Jennifer B

    2017-01-01

    Background The increasing popularity of hookah (or waterpipe) use in the United States and elsewhere has consequences for public health because it has similar health risks to that of combustible cigarettes. While hookah use rapidly increases in popularity, social media data (Twitter, Instagram) can be used to capture and describe the social and environmental contexts in which individuals use, perceive, discuss, and are marketed this tobacco product. These data may allow people to organically report on their sentiment toward tobacco products like hookah unprimed by a researcher, without instrument bias, and at low costs. Objective This study describes the sentiment of hookah-related posts on Twitter and describes the importance of debiasing Twitter data when attempting to understand attitudes. Methods Hookah-related posts on Twitter (N=986,320) were collected from March 24, 2015, to December 2, 2016. Machine learning models were used to describe sentiment on 20 different emotions and to debias the data so that Twitter posts reflected sentiment of legitimate human users and not of social bots or marketing-oriented accounts that would possibly provide overly positive or overly negative sentiment of hookah. Results From the analytical sample, 352,116 tweets (59.50%) were classified as positive while 177,537 (30.00%) were classified as negative, and 62,139 (10.50%) neutral. Among all positive tweets, 218,312 (62.00%) were classified as highly positive emotions (eg, active, alert, excited, elated, happy, and pleasant), while 133,804 (38.00%) positive tweets were classified as passive positive emotions (eg, contented, serene, calm, relaxed, and subdued). Among all negative tweets, 95,870 (54.00%) were classified as subdued negative emotions (eg, sad, unhappy, depressed, and bored) while the remaining 81,667 (46.00%) negative tweets were classified as highly negative emotions (eg, tense, nervous, stressed, upset, and unpleasant). Sentiment changed drastically when

  2. Identifying Sentiment of Hookah-Related Posts on Twitter.

    Science.gov (United States)

    Allem, Jon-Patrick; Ramanujam, Jagannathan; Lerman, Kristina; Chu, Kar-Hai; Boley Cruz, Tess; Unger, Jennifer B

    2017-10-18

    The increasing popularity of hookah (or waterpipe) use in the United States and elsewhere has consequences for public health because it has similar health risks to that of combustible cigarettes. While hookah use rapidly increases in popularity, social media data (Twitter, Instagram) can be used to capture and describe the social and environmental contexts in which individuals use, perceive, discuss, and are marketed this tobacco product. These data may allow people to organically report on their sentiment toward tobacco products like hookah unprimed by a researcher, without instrument bias, and at low costs. This study describes the sentiment of hookah-related posts on Twitter and describes the importance of debiasing Twitter data when attempting to understand attitudes. Hookah-related posts on Twitter (N=986,320) were collected from March 24, 2015, to December 2, 2016. Machine learning models were used to describe sentiment on 20 different emotions and to debias the data so that Twitter posts reflected sentiment of legitimate human users and not of social bots or marketing-oriented accounts that would possibly provide overly positive or overly negative sentiment of hookah. From the analytical sample, 352,116 tweets (59.50%) were classified as positive while 177,537 (30.00%) were classified as negative, and 62,139 (10.50%) neutral. Among all positive tweets, 218,312 (62.00%) were classified as highly positive emotions (eg, active, alert, excited, elated, happy, and pleasant), while 133,804 (38.00%) positive tweets were classified as passive positive emotions (eg, contented, serene, calm, relaxed, and subdued). Among all negative tweets, 95,870 (54.00%) were classified as subdued negative emotions (eg, sad, unhappy, depressed, and bored) while the remaining 81,667 (46.00%) negative tweets were classified as highly negative emotions (eg, tense, nervous, stressed, upset, and unpleasant). Sentiment changed drastically when comparing a corpus of tweets with social bots

  3. Money and sentiment: a psychodynamic approach to behavioral finance.

    Science.gov (United States)

    Mohacsy, Ildiko; Lefer, Heidi

    2007-01-01

    This article tackles one of the timeliest issues for both practitioners and patients today: sentiment, psychodynamics, and the stock market. Economic bubbles and crashes have occurred regularly through history -- from Holland's 17th century tulip mania, to America's 19th century railway mania, to the 1990s high-tech obsession. Though most investors regard themselves as investing rationally, few do. Instead they react collectively, buying high and selling low in crowds. Being subject to the illusion of control, they follow regressive behavior patterns and irrational, wishful thinking. They are victimized by their own emotions of hope, fear, and uncertainty. Crises happen often in economics. Indeed, the market itself may be quantified as a conglomeration of human sentiment. The relationship between magical thinking and the pictorial language of the market will be explored. Psychodynamic conceptualizations about risk and speculation are discussed, as are the interplay of affects versus judgment, rational thinking, and the knowledge of one's own capacity for stress tolerance.

  4. Balancing Machine Work, Comfort Work, and Sentimental Work

    DEFF Research Database (Denmark)

    Pedersen, Maria Ie; Hansen, Magnus; Hertzum, Morten

    2011-01-01

    and attention. We investigate ambulance care in three of Denmark’s five healthcare regions, which staff ambulances with emergency medical technicians, paramedics, and physicians. Using the concept of illness trajectory we analyse how the ambulance crews balance machine work, which involves continuously...... monitoring the equipment, comfort work, which is actions taken to relieve the pain or discomfort of the patient, and sentimental work, which is care for the patient’s physical and mental well-being, often verbal in nature. The analysis shows that comfort and sentimental work often takes priority over machine...... work, but also that this has negative consequences. Equipment for use in ambulances should aim at supporting the ambulance crews in competently and dynamically balancing the different types of work and should, consequently, avoid binding the crew’s attention for unbroken periods of time....

  5. On the relationship between investor sentiment, VIX and trading volume.

    Directory of Open Access Journals (Sweden)

    Simon Man Shing So

    2015-11-01

    Full Text Available As noise traders affect stock market by trading, sentiment, as a signal of noise, may have relationships with trading volume. This paper explores the effect of sentiment on the stock market’s trading volume. Increase in Volatility Index (VIX can explain the percentage increase in trading volume, but only in high VIX period. Besides, higher level of VIX is likely to be associated with greater variability of trading volume. The noise traders add liquidity to the market and provide more chances for investors to time their trade as the volatility of liquidity increases. These two kinds of impact lower rational investors’ required return. The noise traders not only drive the price deviating from fundamental value, but also influence the liquidity dimensions.

  6. A Survey on Sentiment Classification in Face Recognition

    Science.gov (United States)

    Qian, Jingyu

    2018-01-01

    Face recognition has been an important topic for both industry and academia for a long time. K-means clustering, autoencoder, and convolutional neural network, each representing a design idea for face recognition method, are three popular algorithms to deal with face recognition problems. It is worthwhile to summarize and compare these three different algorithms. This paper will focus on one specific face recognition problem-sentiment classification from images. Three different algorithms for sentiment classification problems will be summarized, including k-means clustering, autoencoder, and convolutional neural network. An experiment with the application of these algorithms on a specific dataset of human faces will be conducted to illustrate how these algorithms are applied and their accuracy. Finally, the three algorithms are compared based on the accuracy result.

  7. A LITERATURE SURVEY ON RECOMMENDATION SYSTEM BASED ON SENTIMENTAL ANALYSIS

    OpenAIRE

    Achin Jain; Vanita Jain; Nidhi Kapoor

    2016-01-01

    Recommender systems have grown to be a critical research subject after the emergence of the first paper on collaborative filtering in the Nineties. Despite the fact that educational studies on recommender systems, has extended extensively over the last 10 years, there are deficiencies in the complete literature evaluation and classification of that research. Because of this, we reviewed articles on recommender structures, and then classified those based on sentiment analysis. The articles are...

  8. Large-scale Comparative Sentiment Analysis of News Articles

    OpenAIRE

    Wanner, Franz; Rohrdantz, Christian; Mansmann, Florian; Stoffel, Andreas; Oelke, Daniela; Krstajic, Milos; Keim, Daniel; Luo, Dongning; Yang, Jing; Atkinson, Martin

    2009-01-01

    Online media offers great possibilities to retrieve more news items than ever. In contrast to these technical developments, human capabilities to read all these news items have not increased likewise. To bridge this gap, this poster presents a visual analytics tool for conducting semi-automatic sentiment analysis of large news feeds. The tool retrieves and analyzes the news of two categories (Terrorist Attack and Natural Disasters) and news which belong to both categories of the Europe Media ...

  9. Towards a Unified Sentiment Lexicon Based on Graphics Processing Units

    Directory of Open Access Journals (Sweden)

    Liliana Ibeth Barbosa-Santillán

    2014-01-01

    Full Text Available This paper presents an approach to create what we have called a Unified Sentiment Lexicon (USL. This approach aims at aligning, unifying, and expanding the set of sentiment lexicons which are available on the web in order to increase their robustness of coverage. One problem related to the task of the automatic unification of different scores of sentiment lexicons is that there are multiple lexical entries for which the classification of positive, negative, or neutral {P,N,Z} depends on the unit of measurement used in the annotation methodology of the source sentiment lexicon. Our USL approach computes the unified strength of polarity of each lexical entry based on the Pearson correlation coefficient which measures how correlated lexical entries are with a value between 1 and −1, where 1 indicates that the lexical entries are perfectly correlated, 0 indicates no correlation, and −1 means they are perfectly inversely correlated and so is the UnifiedMetrics procedure for CPU and GPU, respectively. Another problem is the high processing time required for computing all the lexical entries in the unification task. Thus, the USL approach computes a subset of lexical entries in each of the 1344 GPU cores and uses parallel processing in order to unify 155802 lexical entries. The results of the analysis conducted using the USL approach show that the USL has 95.430 lexical entries, out of which there are 35.201 considered to be positive, 22.029 negative, and 38.200 neutral. Finally, the runtime was 10 minutes for 95.430 lexical entries; this allows a reduction of the time computing for the UnifiedMetrics by 3 times.

  10. Assessing sentiment in conflict zones through social media

    OpenAIRE

    Bourret, Andrew K.; Wines, Joshua D.; Mendes, Jason M.

    2016-01-01

    Approved for public release; distribution is unlimited While it is widely accepted that polling can assess levels of popular support in a geographic area by surveying a cross-segment of its population, it is less well accepted that analysts can use social media analysis to assess sentiment or popular support within the same space. We examine this question by comparing geographically anchored polling and social media data, utilizing over 1.4 million geo-referenced messages sent through the ...

  11. Investor Sentiment and Corporate Finance: Micro and Macro

    OpenAIRE

    Owen A. Lamont; Jeremy C. Stein

    2006-01-01

    We document that net equity issuance is considerably more sensitive to aggregate stock returns and Q's than to firm-level stock returns and Q's. Very similar patterns also emerge when we look at merger activity. In light of earlier work (Campbell 1991, Vuolteenaho 2002) which finds that aggregate stock returns are less informative about future cashflows than are firm-level stock returns--and thus, potentially more strongly influenced by investor sentiment--these results suggest that both equi...

  12. Climate Change, Disaster and Sentiment Analysis over Social Media Mining

    Science.gov (United States)

    Lee, J.; McCusker, J. P.; McGuinness, D. L.

    2012-12-01

    Accelerated climate change causes disasters and disrupts people living all over the globe. Disruptive climate events are often reflected in expressed sentiments of the people affected. Monitoring changes in these sentiments during and after disasters can reveal relationships between climate change and mental health. We developed a semantic web tool that uses linked data principles and semantic web technologies to integrate data from multiple sources and analyze them together. We are converting statistical data on climate change and disaster records obtained from the World Bank data catalog and the International Disaster Database into a Resource Description Framework (RDF) representation that was annotated with the RDF Data Cube vocabulary. We compare these data with a dataset of tweets that mention terms from the Emotion Ontology to get a sense of how disasters can impact the affected populations. This dataset is being gathered using an infrastructure we developed that extracts term uses in Twitter with controlled vocabularies. This data was also converted to RDF structure so that statistical data on the climate change and disasters is analyzed together with sentiment data. To visualize and explore relationship of the multiple data across the dimensions of time and location, we use the qb.js framework. We are using this approach to investigate the social and emotional impact of climate change. We hope that this will demonstrate the use of social media data as a valuable source of understanding on global climate change.

  13. Ranking product aspects through sentiment analysis of online reviews

    Science.gov (United States)

    Wang, Wei; Wang, Hongwei; Song, Yuan

    2017-03-01

    The electronic word-of-mouth (e-WOM) is one of the most important among all the factors affecting consumers' behaviours. Opinions towards a product through online reviews will influence purchase decisions of other online consumers by changing their perceptions on the product quality. Furthermore, each product aspect may impact consumers' intentions differently. Thus, sentiment analysis and econometric models are incorporated to examine the relationship between purchase intentions and aspect-opinion pairs, which enable the weight estimation for each product aspect. We first identify product aspects and reduce dimensions to extract aspect-opinion pairs. Next the information gain is calculated for each aspect through entropy theory. Based on sentiment polarity and sentiment strength, we formulate an econometric model by integrating the information gain to measure the aspect's weight. In the experiment, we track 386 digital cameras on Amazon for 39 months, and results show that the aspect weight for digital cameras is detected more precisely than TF-ID and HAC algorithms. The results will bridge product aspects and consumption intention to facilitate e-WOM-based marketing.

  14. Public sentiment and movement patterns during natural hazards

    Science.gov (United States)

    Huang, Q.; Guo, C.

    2017-12-01

    Recently, we have unfortunately witnessed a series of deadly hurricane events, including Harvey, Irma, Jose, Maria and Nate. Effective disaster management actions such as getting citizen sheltered and evacuated can significantly reduce injuries and fatalities. A more comprehensive understanding of citizen's perceptions (e.g., sentiment) about a disaster and movement behaviors (e.g., evacuation) will help improve disaster management and decision making during natural hazards. With the popularity of various social media platforms (i.e. Twitter), there has been great potentials in using social media data to detect and analyze citizen's perceptions and moving behaviors before, during and after a natural hazard. Using the geo-tagged tweets generated during recent hurricane events, the study will examine the movement interactions between citizens and a hurricane and also explore citizens' tweeting behaviors and sentiments at different stages of a disaster. The results provide insights on understanding 1) spatiotemporal patterns of public movements (i.e., when and where did people's movements happen), 2) how were people's movements related to the hurricane trajectory, 3) when did people in different locations start to pay attention to the hurricane, and finally 4) how were the sentiments of people in different places towards the hurricane during different disaster stages.

  15. A Feature Selection Method Based on Fisher's Discriminant Ratio for Text Sentiment Classification

    Science.gov (United States)

    Wang, Suge; Li, Deyu; Wei, Yingjie; Li, Hongxia

    With the rapid growth of e-commerce, product reviews on the Web have become an important information source for customers' decision making when they intend to buy some product. As the reviews are often too many for customers to go through, how to automatically classify them into different sentiment orientation categories (i.e. positive/negative) has become a research problem. In this paper, based on Fisher's discriminant ratio, an effective feature selection method is proposed for product review text sentiment classification. In order to validate the validity of the proposed method, we compared it with other methods respectively based on information gain and mutual information while support vector machine is adopted as the classifier. In this paper, 6 subexperiments are conducted by combining different feature selection methods with 2 kinds of candidate feature sets. Under 1006 review documents of cars, the experimental results indicate that the Fisher's discriminant ratio based on word frequency estimation has the best performance with F value 83.3% while the candidate features are the words which appear in both positive and negative texts.

  16. A new ANEW: Evaluation of a word list for sentiment analysis in microblogs

    DEFF Research Database (Denmark)

    Nielsen, Finn Årup

    2011-01-01

    Sentiment analysis of microblogs such as Twitter has recently gained a fair amount of attention. One of the simplest sentiment analysis approaches compares the words of a posting against a labeled word list, where each word has been scored for valence, — a “sentiment lexicon” or “affective word...... lists”. There exist several affective word lists, e.g., ANEW (Affective Norms for English Words) developed before the advent of microblogging and sentiment analysis. I wanted to examine how well ANEW and other word lists performs for the detection of sentiment strength in microblog posts in comparison...... with a new word list specifically constructed for microblogs. I used manually labeled postings from Twitter scored for sentiment. Using a simple word matching I show that the new word list may perform better than ANEW, though not as good as the more elaborate approach found in SentiStrength....

  17. Sentiment analysis enhancement with target variable in Kumar’s Algorithm

    Science.gov (United States)

    Arman, A. A.; Kawi, A. B.; Hurriyati, R.

    2016-04-01

    Sentiment analysis (also known as opinion mining) refers to the use of text analysis and computational linguistics to identify and extract subjective information in source materials. Sentiment analysis is widely applied to reviews discussion that is being talked in social media for many purposes, ranging from marketing, customer service, or public opinion of public policy. One of the popular algorithm for Sentiment Analysis implementation is Kumar algorithm that developed by Kumar and Sebastian. Kumar algorithm can identify the sentiment score of the statement, sentence or tweet, but cannot determine the relationship of the object or target related to the sentiment being analysed. This research proposed solution for that challenge by adding additional component that represent object or target to the existing algorithm (Kumar algorithm). The result of this research is a modified algorithm that can give sentiment score based on a given object or target.

  18. Twitter Sentiment Analysis Applied to Finance: A Case Study in the Retail Industry

    OpenAIRE

    Th\\'arsis Tuani Pinto Souza; Olga Kolchyna; Philip C. Treleaven; Tomaso Aste

    2015-01-01

    This paper presents a financial analysis over Twitter sentiment analytics extracted from listed retail brands. We investigate whether there is statistically-significant information between the Twitter sentiment and volume, and stock returns and volatility. Traditional newswires are also considered as a proxy for the market sentiment for comparative purpose. The results suggest that social media is indeed a valuable source in the analysis of the financial dynamics in the retail sector even whe...

  19. Measuring political sentiment on Twitter: factor-optimal design for multinomial inverse regression

    OpenAIRE

    Taddy, Matt

    2012-01-01

    This article presents a short case study in text analysis: the scoring of Twitter posts for positive, negative, or neutral sentiment directed towards particular US politicians. The study requires selection of a sub-sample of representative posts for sentiment scoring, a common and costly aspect of sentiment mining. As a general contribution, our application is preceded by a proposed algorithm for maximizing sampling efficiency. In particular, we outline and illustrate greedy selection of docu...

  20. Sentiments and Perceptions of Business Respondents on Social Media: an Exploratory Analysis

    OpenAIRE

    Torres van Grinsven Vanessa; Snijkers Ger

    2015-01-01

    The perceptions and sentiments of business respondents are considered important for statistical bureaus. As perceptions and sentiments are related to the behavior of the people expressing them, gaining insights into the perceptions and sentiments of business respondents is of interest to understand business survey response. In this article we present an exploratory analysis of expressions in the social media regarding Statistics Netherlands. In recent years, social media have become an import...

  1. On the Feature Selection and Classification Based on Information Gain for Document Sentiment Analysis

    Directory of Open Access Journals (Sweden)

    Asriyanti Indah Pratiwi

    2018-01-01

    Full Text Available Sentiment analysis in a movie review is the needs of today lifestyle. Unfortunately, enormous features make the sentiment of analysis slow and less sensitive. Finding the optimum feature selection and classification is still a challenge. In order to handle an enormous number of features and provide better sentiment classification, an information-based feature selection and classification are proposed. The proposed method reduces more than 90% unnecessary features while the proposed classification scheme achieves 96% accuracy of sentiment classification. From the experimental results, it can be concluded that the combination of proposed feature selection and classification achieves the best performance so far.

  2. Sentiment Diffusion of Public Opinions about Hot Events: Based on Complex Network.

    Directory of Open Access Journals (Sweden)

    Xiaoqing Hao

    Full Text Available To study the sentiment diffusion of online public opinions about hot events, we collected people's posts through web data mining techniques. We calculated the sentiment value of each post based on a sentiment dictionary. Next, we divided those posts into five different orientations of sentiments: strongly positive (P, weakly positive (p, neutral (o, weakly negative (n, and strongly negative (N. These sentiments are combined into modes through coarse graining. We constructed sentiment mode complex network of online public opinions (SMCOP with modes as nodes and the conversion relation in chronological order between different types of modes as edges. We calculated the strength, k-plex clique, clustering coefficient and betweenness centrality of the SMCOP. The results show that the strength distribution obeys power law. Most posts' sentiments are weakly positive and neutral, whereas few are strongly negative. There are weakly positive subgroups and neutral subgroups with ppppp and ooooo as the core mode, respectively. Few modes have larger betweenness centrality values and most modes convert to each other with these higher betweenness centrality modes as mediums. Therefore, the relevant person or institutes can take measures to lead people's sentiments regarding online hot events according to the sentiment diffusion mechanism.

  3. Public sentiment and discourse about Zika virus on Instagram.

    Science.gov (United States)

    Seltzer, E K; Horst-Martz, E; Lu, M; Merchant, R M

    2017-09-01

    Social media have strongly influenced the awareness and perceptions of public health emergencies, and a considerable amount of social media content is now shared through images, rather than text alone. This content can impact preparedness and response due to the popularity and real-time nature of social media platforms. We sought to explore how the image-sharing platform Instagram is used for information dissemination and conversation during the current Zika outbreak. This was a retrospective review of publicly posted images about Zika on Instagram. Using the keyword '#zika' we identified 500 images posted on Instagram from May to August 2016. Images were coded by three reviewers and contextual information was collected for each image about sentiment, image type, content, audience, geography, reliability, and engagement. Of 500 images tagged with #zika, 342 (68%) contained content actually related to Zika. Of the 342 Zika-specific images, 299 were coded as 'health' and 193 were coded 'public interest'. Some images had multiple 'health' and 'public interest' codes. Health images tagged with #zika were primarily related to transmission (43%, 129/299) and prevention (48%, 145/299). Transmission-related posts were more often mosquito-human transmission (73%, 94/129) than human-human transmission (27%, 35/129). Mosquito bite prevention posts outnumbered safe sex prevention; (84%, 122/145) and (16%, 23/145) respectively. Images with a target audience were primarily aimed at women (95%, 36/38). Many posts (60%, 61/101) included misleading, incomplete, or unclear information about the virus. Additionally, many images expressed fear and negative sentiment, (79/156, 51%). Instagram can be used to characterize public sentiment and highlight areas of focus for public health, such as correcting misleading or incomplete information or expanding messages to reach diverse audiences. Copyright © 2017 The Royal Society for Public Health. Published by Elsevier Ltd. All rights

  4. Smart Agents and Sentiment in the Heterogeneous Agent Model

    Czech Academy of Sciences Publication Activity Database

    Vácha, Lukáš; Baruník, Jozef; Vošvrda, Miloslav

    -, č. 81 (2010), s. 39-40 ISSN 0926-4981 R&D Projects: GA ČR(CZ) GA402/09/0965; GA ČR GP402/08/P207 Grant - others:GAUK(CZ) GAUK 46108 Institutional research plan: CEZ:AV0Z10750506 Keywords : Smart traders * price movements * smart traders concept Subject RIV: AH - Economics http://library.utia.cas.cz/separaty/2010/E/vacha- smart agent s and sentiment in the heterogeneous agent model.pdf

  5. Smart Agents and Sentiment in the Heterogeneous Agent Model

    Czech Academy of Sciences Publication Activity Database

    Vácha, Lukáš; Baruník, Jozef; Vošvrda, Miloslav

    2009-01-01

    Roč. 18, č. 3 (2009), s. 209-219 ISSN 1210-0455 R&D Projects: GA MŠk(CZ) LC06075; GA ČR GP402/08/P207; GA ČR(CZ) GA402/09/0965 Institutional research plan: CEZ:AV0Z10750506 Keywords : heterogeneous agent model * market structure * smart traders * Hurst exponent Subject RIV: AH - Economics http://library.utia.cas.cz/separaty/2009/E/vacha- smart agent s and sentiment in the heterogeneous agent model.pdf

  6. Artificial Neural Network methods applied to sentiment analysis

    OpenAIRE

    Ebert, Sebastian

    2017-01-01

    Sentiment Analysis (SA) is the study of opinions and emotions that are conveyed by text. This field of study has commercial applications for example in market research (e.g., “What do customers like and dislike about a product?”) and consumer behavior (e.g., “Which book will a customer buy next when he wrote a positive review about book X?”). A private person can benefit from SA by automatic movie or restaurant recommendations, or from applications on the computer or smart phone that adapt to...

  7. Contempt, like any other social affect, can be an emotion as well as a sentiment.

    Science.gov (United States)

    Giner-Sorolla, Roger; Fischer, Agneta H

    2017-01-01

    Gervais & Fessler assert that contempt is (a) not an emotion (or an attitude) but (b) a sentiment. Here, we challenge the validity and empirical basis of these two assertions, arguing that contempt, like many other emotions, can be both an emotion and a sentiment.

  8. Contempt, like any other social affect, can be an emotion as well as a sentiment

    NARCIS (Netherlands)

    Giner-Sorolla, R.; Fischer, A.H.

    2017-01-01

    Gervais and Fessler assert that contempt is (a) not an emotion (or an attitude), but (b) a sentiment. Here, we challenge the validity and empirical basis of these two assertions, arguing that contempt, as many other emotions, can be both an emotion and sentiment.

  9. Seeing the elephant: Parsimony, functionalism, and the emergent design of contempt and other sentiments.

    Science.gov (United States)

    Gervais, Matthew M; Fessler, Daniel M T

    2017-01-01

    The target article argues that contempt is a sentiment, and that sentiments are the deep structure of social affect. The 26 commentaries meet these claims with a range of exciting extensions and applications, as well as critiques. Most significantly, we reply that construction and emergence are necessary for, not incompatible with, evolved design, while parsimony requires explanatory adequacy and predictive accuracy, not mere simplicity.

  10. Choosing your weapons : on sentiment analysis tools for software engineering research

    NARCIS (Netherlands)

    Jongeling, R.M.; Datta, S.; Serebrenik, A.; Koschke, R.; Krinke, J.; Robillard, M.

    2015-01-01

    Recent years have seen an increasing attention to social aspects of software engineering, including studies of emotions and sentiments experienced and expressed by the software developers. Most of these studies reuse existing sentiment analysis tools such as SentiStrength and NLTK. However, these

  11. Sentiments and Perceptions of Business Respondents on Social Media: an Exploratory Analysis

    Directory of Open Access Journals (Sweden)

    Torres van Grinsven Vanessa

    2015-06-01

    Full Text Available The perceptions and sentiments of business respondents are considered important for statistical bureaus. As perceptions and sentiments are related to the behavior of the people expressing them, gaining insights into the perceptions and sentiments of business respondents is of interest to understand business survey response. In this article we present an exploratory analysis of expressions in the social media regarding Statistics Netherlands. In recent years, social media have become an important infrastructure for communication flows and thus an essential network in our social structure. Within that network participants are actively involved in expressing sentiments and perceptions. The results of our analysis provide insights into the perceptions and sentiments that business respondents have of this national statistical institute and specifically its business surveys. They point towards the specific causes that have led to a positive or a negative sentiment. Based on these results, recommendations aimed at influencing the perceptions and sentiments will be discussed, with the ultimate goal of stimulating survey participation. We also suggest recommendations regarding social media studies on sentiments and perceptions of survey respondents.

  12. Does Sentiment Among Users in Online Social Networks Polarize or Balance Out?

    DEFF Research Database (Denmark)

    Trier, Matthias; Hillmann, Robert

    2017-01-01

    Users express and share sentiments electronically when they communicate within online social network applications. One way to analyze such interdependent data is focusing on the inter-user relationships by applying a sociological perspective based on social network analysis. Existing studies exam...... examined the existence or distribution of sentiments in online communication at a general level or in small observed groups....

  13. Information, Sentiment, and Price in a Fast Order-Driven Market

    Czech Academy of Sciences Publication Activity Database

    Derviz, Alexis

    2011-01-01

    Roč. 8, č. 3 (2011), s. 43-75 ISSN 0972-916X Institutional research plan: CEZ:AV0Z10750506 Keywords : limit order * market order * high frequency trading * price dicovery * sentiment Subject RIV: AH - Economics http://library.utia.cas.cz/separaty/2011/E/derviz-information, sentiment, and price in a fast order-driven market.pdf

  14. UT-DB: an experimental study on sentiment analysis in twitter

    NARCIS (Netherlands)

    Zhu, Zhemin; Hiemstra, Djoerd; Apers, Peter M.G.; Wombacher, Andreas

    This paper describes our system for participating SemEval2013 Task2-B (Kozareva et al., 2013): Sentiment Analysis in Twitter. Given a message, our system classifies whether the message is positive, negative or neutral sentiment. It uses a co-occurrence rate model. The training data are constrained

  15. Public sentiment analysis in Twitter data for prediction of a company's stock price movements

    NARCIS (Netherlands)

    Li, B.; Chan, K.C.C.; Ou, C.X.J.; Li, Y.; Guo, J.

    2014-01-01

    There has recently been some effort to mine social media for public sentiment analysis. Studies have suggested that public emotions shown through Tweeter may well be correlated with the Dow Jones Industrial Average. However, can public sentiment be analyzed to predict the movements of the stock

  16. Sentiment analysis and the impact of employee satisfaction on firm earnings

    NARCIS (Netherlands)

    A.J. Moniz (Andy); F.M.G. de Jong (Franciska)

    2014-01-01

    textabstractPrior text mining studies of corporate reputational sentiment based on newswires, blogs and Twitter feeds have mostly captured reputation from the perspective of two groups of stakeholders - the media and consumers. In this study we examine the sentiment of a potentially overlooked

  17. Stigma Sentiments and Self-Meanings: Exploring the Modified Labeling Theory of Mental Illness

    Science.gov (United States)

    Kroska, Amy; Harkness, Sarah K.

    2006-01-01

    We introduce "stigma sentiments" as a way to operationalize the cultural conceptions of the mentally ill. Stigma sentiments are the evaluation, potency, and activity (EPA) associated with the cultural category "a mentally ill person." We find consistent support for the validity of the evaluation and potency components as measures of these…

  18. Changes and Sentiment: A Longitudinal E-Mail Analysis of a Large Design Project

    DEFF Research Database (Denmark)

    Piccolo, Sebastiano; Wilberg, Julian; Lindemann, Udo

    " in emails and study its relation to sentiment. We find that sentiment decreases when problems or changes emerge, and increases when changes are implemented successfully. We discuss the implications of our findings for research and project engineering practice, providing avenues for further work....

  19. Sentiment analysis and the impact of employee satisfaction on firm earnings

    NARCIS (Netherlands)

    Moniz, Andy; de Jong, Franciska M.G.

    Prior text mining studies of corporate reputational sentiment based on newswires, blogs and Twitter feeds have mostly captured reputation from the perspective of two groups of stakeholders – the media and consumers. In this study we examine the sentiment of a potentially overlooked stakeholder

  20. Reconciliation Sentiment among Victims of Genocide in Rwanda: Conceptualizations, and Relationships with Mental Health

    Science.gov (United States)

    Mukashema, Immaculee; Mullet, Etienne

    2010-01-01

    In two studies that were conducted in Rwanda, we have examined the conceptualizations held by people who have experienced genocide with regard to reconciliation sentiment and quantitatively assessed the relationship between reconciliation sentiment and mental health. It was found that the participants have articulated conceptualizations regarding…

  1. Investor sentiment, mutual fund flows and its impact on returns and volatility

    NARCIS (Netherlands)

    Lehnert, T.; Müller, A.; Frijns, B.P.M.; Beaumont, R.J.; Daele, M. van

    2008-01-01

    - Purpose – The purpose of this paper is to investigate the impact of individual investor sentiment on the return process and conditional volatility of three main US market indices (Dow Jones Industrial Average, S&P500 and Nasdaq100). Individual investor sentiment is measured by aggregate money

  2. Revisiting the investor sentiment-stock returns relationship: A multi-scale perspective using wavelets

    Science.gov (United States)

    Lao, Jiashun; Nie, He; Jiang, Yonghong

    2018-06-01

    This paper employs SBW proposed by Baker and Wurgler (2006) to investigate the nonlinear asymmetric Granger causality between investor sentiment and stock returns for US economy while considering different time-scales. The wavelet method is utilized to decompose time series of investor sentiment and stock returns at different time-scales to focus on the local analysis of different time horizons of investors. The linear and nonlinear asymmetric Granger methods are employed to examine the Granger causal relationship on similar time-scales. We find evidence of strong bilateral linear and nonlinear asymmetric Granger causality between longer-term investor sentiment and stock returns. Furthermore, we observe the positive nonlinear causal relationship from stock returns to investor sentiment and the negative nonlinear causal relationship from investor sentiment to stock returns.

  3. A Framework for Sentiment Analysis Implementation of Indonesian Language Tweet on Twitter

    Science.gov (United States)

    Asniar; Aditya, B. R.

    2017-01-01

    Sentiment analysis is the process of understanding, extracting, and processing the textual data automatically to obtain information. Sentiment analysis can be used to see opinion on an issue and identify a response to something. Millions of digital data are still not used to be able to provide any information that has usefulness, especially for government. Sentiment analysis in government is used to monitor the work programs of the government such as the Government of Bandung City through social media data. The analysis can be used quickly as a tool to see the public response to the work programs, so the next strategic steps can be taken. This paper adopts Support Vector Machine as a supervised algorithm for sentiment analysis. It presents a framework for sentiment analysis implementation of Indonesian language tweet on twitter for Work Programs of Government of Bandung City. The results of this paper can be a reference for decision making in local government.

  4. Sentiment analysis system for movie review in Bahasa Indonesia using naive bayes classifier method

    Science.gov (United States)

    Nurdiansyah, Yanuar; Bukhori, Saiful; Hidayat, Rahmad

    2018-04-01

    There are many ways of implementing the use of sentiments often found in documents; one of which is the sentiments found on the product or service reviews. It is so important to be able to process and extract textual data from the documents. Therefore, we propose a system that is able to classify sentiments from review documents into two classes: positive sentiment and negative sentiment. We use Naive Bayes Classifier method in this document classification system that we build. We choose Movienthusiast, a movie reviews in Bahasa Indonesia website as the source of our review documents. From there, we were able to collect 1201 movie reviews: 783 positive reviews and 418 negative reviews that we use as the dataset for this machine learning classifier. The classifying accuracy yields an average of 88.37% from five times of accuracy measuring attempts using aforementioned dataset.

  5. A Video Recall Study of In-session Changes in Sentiment Override.

    Science.gov (United States)

    Johnson, Lee N; Tambling, Rachel B; Anderson, Shayne R

    2015-09-01

    This study examines in-session changes in sentiment override over the first three sessions of couple therapy. Couples viewed a video recording of therapy sessions immediately after each of the first three sessions and continuously rated their level of sentiment override. Ninety-eight changes were randomly chosen for analysis. Three talk turns prior to each change was coded using the Family Relational Communication Control Coding System. Results show that changes in sentiment override occur frequently. Repeated incidents of communication control were related to negative change in sentiment override for females. Repeated incidents of being left out of the conversation were related to negative changes in sentiment override for females and positive changes for males. © 2014 Family Process Institute.

  6. Sentiment analysis of political communication: combining a dictionary approach with crowdcoding.

    Science.gov (United States)

    Haselmayer, Martin; Jenny, Marcelo

    2017-01-01

    Sentiment is important in studies of news values, public opinion, negative campaigning or political polarization and an explosive expansion of digital textual data and fast progress in automated text analysis provide vast opportunities for innovative social science research. Unfortunately, tools currently available for automated sentiment analysis are mostly restricted to English texts and require considerable contextual adaption to produce valid results. We present a procedure for collecting fine-grained sentiment scores through crowdcoding to build a negative sentiment dictionary in a language and for a domain of choice. The dictionary enables the analysis of large text corpora that resource-intensive hand-coding struggles to cope with. We calculate the tonality of sentences from dictionary words and we validate these estimates with results from manual coding. The results show that the crowdbased dictionary provides efficient and valid measurement of sentiment. Empirical examples illustrate its use by analyzing the tonality of party statements and media reports.

  7. Who Punishes? Personality Traits Predict Individual Variation in Punitive Sentiment

    Directory of Open Access Journals (Sweden)

    S. Craig Roberts

    2013-01-01

    Full Text Available Cross-culturally, participants in public goods games reward participants and punish defectors to a degree beyond that warranted by rational, profit-maximizing considerations. Costly punishment, where individuals impose costs on defectors at a cost to themselves, is thought to promote the maintenance of cooperation. However, despite substantial variation in the extent to which people punish, little is known about why some individuals, and not others, choose to pay these costs. Here, we test whether personality traits might contribute to variation in helping and punishment behavior. We first replicate a previous study using public goods scenarios to investigate effects of sex, relatedness and likelihood of future interaction on willingness to help a group member or to punish a transgressor. As in the previous study, we find that individuals are more willing to help related than unrelated needy others and that women are more likely to express desire to help than men. Desire to help was higher if the probability of future interaction is high, at least among women. In contrast, among these variables, only participant sex predicted some measures of punitive sentiment. Extending the replication, we found that punitive sentiment, but not willingness to help, was predicted by personality traits. Most notably, participants scoring lower on Agreeableness expressed more anger towards and greater desire to punish a transgressor, and were more willing to engage in costly punishment, at least in our scenario. Our results suggest that some personality traits may contribute to underpinning individual variation in social enforcement of cooperation.

  8. External validity of sentiment mining reports: Can current methods identify demographic biases, event biases, and manipulation of reviews?

    NARCIS (Netherlands)

    Wijnhoven, Alphonsus B.J.M.; Bloemen, Oscar

    2014-01-01

    Many publications in sentiment mining provide new techniques for improved accuracy in extracting features and corresponding sentiments in texts. For the external validity of these sentiment reports, i.e., the applicability of the results to target audiences, it is important to well analyze data of

  9. Who is more positive in private? : analyzing sentiment differences across privacy levels and demographic factors in Facebook chats and posts

    NARCIS (Netherlands)

    Gao, B.; Berendt, B.; Vanschoren, J.

    2015-01-01

    Understanding users' sentiments in social media is important in many domains, such as marketing and online applications. Is one demographic group inherently different from another? Does a group express the same sentiment both in private and public? How can we compare the sentiments of different

  10. The predictive power of the business and bank sentiment of firms : A high-dimensional Granger causality approach

    NARCIS (Netherlands)

    Wilms, I.; Gelper, S.E.C.; Croux, C.

    2016-01-01

    We study the predictive power of industry-specific economic sentiment indicators for future macro-economic developments. In addition to the sentiment of firms towards their own business situation, we study their sentiment with respect to the banking sector – their main credit providers. The use of

  11. Sentiment Analysis of Web Sites Related to Vaginal Mesh Use in Pelvic Reconstructive Surgery.

    Science.gov (United States)

    Hobson, Deslyn T G; Meriwether, Kate V; Francis, Sean L; Kinman, Casey L; Stewart, J Ryan

    2018-05-02

    The purpose of this study was to utilize sentiment analysis to describe online opinions toward vaginal mesh. We hypothesized that sentiment in legal Web sites would be more negative than that in medical and reference Web sites. We generated a list of relevant key words related to vaginal mesh and searched Web sites using the Google search engine. Each unique uniform resource locator (URL) was sorted into 1 of 6 categories: "medical", "legal", "news/media", "patient generated", "reference", or "unrelated". Sentiment of relevant Web sites, the primary outcome, was scored on a scale of -1 to +1, and mean sentiment was compared across all categories using 1-way analysis of variance. Tukey test evaluated differences between category pairs. Google searches of 464 unique key words resulted in 11,405 URLs. Sentiment analysis was performed on 8029 relevant URLs (3472 legal, 1625 "medical", 1774 "reference", 666 "news media", 492 "patient generated"). The mean sentiment for all relevant Web sites was +0.01 ± 0.16; analysis of variance revealed significant differences between categories (P Web sites categorized as "legal" and "news/media" had a slightly negative mean sentiment, whereas those categorized as "medical," "reference," and "patient generated" had slightly positive mean sentiments. Tukey test showed differences between all category pairs except the "medical" versus "reference" in comparison with the largest mean difference (-0.13) seen in the "legal" versus "reference" comparison. Web sites related to vaginal mesh have an overall mean neutral sentiment, and Web sites categorized as "medical," "reference," and "patient generated" have significantly higher sentiment scores than related Web sites in "legal" and "news/media" categories.

  12. Web Conversations About Complementary and Alternative Medicines and Cancer: Content and Sentiment Analysis

    Science.gov (United States)

    Truccolo, Ivana; Antonini, Marialuisa; Rinaldi, Fabio; Omero, Paolo; Ferrarin, Emanuela; De Paoli, Paolo; Tasso, Carlo

    2016-01-01

    Background The use of complementary and alternative medicine (CAM) among cancer patients is widespread and mostly self-administrated. Today, one of the most relevant topics is the nondisclosure of CAM use to doctors. This general lack of communication exposes patients to dangerous behaviors and to less reliable information channels, such as the Web. The Italian context scarcely differs from this trend. Today, we are able to mine and analyze systematically the unstructured information available in the Web, to get an insight of people’s opinions, beliefs, and rumors concerning health topics. Objective Our aim was to analyze Italian Web conversations about CAM, identifying the most relevant Web sources, therapies, and diseases and measure the related sentiment. Methods Data have been collected using the Web Intelligence tool ifMONITOR. The workflow consisted of 6 phases: (1) eligibility criteria definition for the ifMONITOR search profile; (2) creation of a CAM terminology database; (3) generic Web search and automatic filtering, the results have been manually revised to refine the search profile, and stored in the ifMONITOR database; (4) automatic classification using the CAM database terms; (5) selection of the final sample and manual sentiment analysis using a 1-5 score range; (6) manual indexing of the Web sources and CAM therapies type retrieved. Descriptive univariate statistics were computed for each item: absolute frequency, percentage, central tendency (mean sentiment score [MSS]), and variability (standard variation σ). Results Overall, 212 Web sources, 423 Web documents, and 868 opinions have been retrieved. The overall sentiment measured tends to a good score (3.6 of 5). Quite a high polarization in the opinions of the conversation partaking emerged from standard variation analysis (σ≥1). In total, 126 of 212 (59.4%) Web sources retrieved were nonhealth-related. Facebook (89; 21%) and Yahoo Answers (41; 9.7%) were the most relevant. In total, 94 CAM

  13. Web Conversations About Complementary and Alternative Medicines and Cancer: Content and Sentiment Analysis.

    Science.gov (United States)

    Mazzocut, Mauro; Truccolo, Ivana; Antonini, Marialuisa; Rinaldi, Fabio; Omero, Paolo; Ferrarin, Emanuela; De Paoli, Paolo; Tasso, Carlo

    2016-06-16

    The use of complementary and alternative medicine (CAM) among cancer patients is widespread and mostly self-administrated. Today, one of the most relevant topics is the nondisclosure of CAM use to doctors. This general lack of communication exposes patients to dangerous behaviors and to less reliable information channels, such as the Web. The Italian context scarcely differs from this trend. Today, we are able to mine and analyze systematically the unstructured information available in the Web, to get an insight of people's opinions, beliefs, and rumors concerning health topics. Our aim was to analyze Italian Web conversations about CAM, identifying the most relevant Web sources, therapies, and diseases and measure the related sentiment. Data have been collected using the Web Intelligence tool ifMONITOR. The workflow consisted of 6 phases: (1) eligibility criteria definition for the ifMONITOR search profile; (2) creation of a CAM terminology database; (3) generic Web search and automatic filtering, the results have been manually revised to refine the search profile, and stored in the ifMONITOR database; (4) automatic classification using the CAM database terms; (5) selection of the final sample and manual sentiment analysis using a 1-5 score range; (6) manual indexing of the Web sources and CAM therapies type retrieved. Descriptive univariate statistics were computed for each item: absolute frequency, percentage, central tendency (mean sentiment score [MSS]), and variability (standard variation σ). Overall, 212 Web sources, 423 Web documents, and 868 opinions have been retrieved. The overall sentiment measured tends to a good score (3.6 of 5). Quite a high polarization in the opinions of the conversation partaking emerged from standard variation analysis (σ≥1). In total, 126 of 212 (59.4%) Web sources retrieved were nonhealth-related. Facebook (89; 21%) and Yahoo Answers (41; 9.7%) were the most relevant. In total, 94 CAM therapies have been retrieved. Most

  14. Sentiment Analysis of User-Generated Content on Drug Review Websites

    Directory of Open Access Journals (Sweden)

    Na, Jin-Cheon

    2015-03-01

    Full Text Available This study develops an effective method for sentiment analysis of user-generated content on drug review websites, which has not been investigated extensively compared to other general domains, such as product reviews. A clause-level sentiment analysis algorithm is developed since each sentence can contain multiple clauses discussing multiple aspects of a drug. The method adopts a pure linguistic approach of computing the sentiment orientation (positive, negative, or neutral of a clause from the prior sentiment scores assigned to words, taking into consideration the grammatical relations and semantic annotation (such as disorder terms of words in the clause. Experiment results with 2,700 clauses show the effectiveness of the proposed approach, and it performed significantly better than the baseline approaches using a machine learning approach. Various challenging issues were identified and discussed through error analysis. The application of the proposed sentiment analysis approach will be useful not only for patients, but also for drug makers and clinicians to obtain valuable summaries of public opinion. Since sentiment analysis is domain specific, domain knowledge in drug reviews is incorporated into the sentiment analysis algorithm to provide more accurate analysis. In particular, MetaMap is used to map various health and medical terms (such as disease and drug names to semantic types in the Unified Medical Language System (UMLS Semantic Network.

  15. Does Online Investor Sentiment Affect the Asset Price Movement? Evidence from the Chinese Stock Market

    Directory of Open Access Journals (Sweden)

    Chi Xie

    2017-01-01

    Full Text Available With the quick development of the Internet, online platforms that provide financial news and opinions have attracted more and more attention from investors. The question whether investor sentiment expressed on the Internet platforms has an impact on asset return has not been fully addressed. To this end, this paper uses the Baidu Searching Index as the agent variable to detect the effect of online investor sentiment on the asset price movement in the Chinese stock market. The empirical study shows that although there is a cointegration relationship between online investor sentiment and asset return, the sentiment has a poor ability to predict the price, return, and volatility of asset price. Meanwhile, the structural break points of online investor sentiment do not lead to changes in the asset price movement. Based on the empirical mode decomposition of online investor sentiment, we find that high frequency components of online investor sentiment can be used to predict the asset price movement. Thus, the obtained results could be useful for risk supervision and asset portfolio management.

  16. Using Social Media Sentiment Analysis to Understand Audiences

    DEFF Research Database (Denmark)

    McGuire, Mark; Kampf, Constance Elizabeth

    2015-01-01

    approach for contextually understanding social media posts. The human interaction step in ad-hoc corpus analysis is central to this methodology as it provides a means to ask critical questions of the content curated through the ad-hoc corpus directly. Results of ad-hoc corpus analysis from this critical......Social media communication is changing the opportunities for technical communicators to really understand audiences when these audiences are active about issues on social media platforms. Through applying ad-hoc corpus building processes to create word lists relevant to specific organizational...... projects, technical communicators can listen to their external users and identify areas of importance with greater accuracy. While other methods of sentiment analysis look for a solution that leads to artificial intelligence in the program, this paper identifies the present needs of a human interaction...

  17. Detecting Tweet-Based Sentiment Polarity of Plastic Surgery Treatment

    Directory of Open Access Journals (Sweden)

    Marvi Jokhio

    2015-10-01

    Full Text Available Sentiment analysis is a growing research these days. Many companies perform this analysis on public opinions to get a general idea about any product or service. This paper presents a novel approach to get views or comments of Twitter users about plastic surgery treatments. The proposed approach uses machine-learning technique embedded with the naïve Bayesian classifier to assign polarities (i.e. positive, negative or neutral to the tweets, collected from ?Twitter micro-blogging website?. The accuracy of the obtained results has been validated using precision, recall and F-score measures. It has been observed from 25000 tweets dataset that people tend to have positive as well as substantial negative opinions regarding particular treatments. The experimental results show the effectiveness of the proposed approach

  18. Detecting tweet-based sentiment polarity of plastic surgery treatment

    International Nuclear Information System (INIS)

    Jokhio, M.; Mahoto, N.A.

    2015-01-01

    Sentiment analysis is a growing research these days. Many companies perform this analysis on public opinions to get a general idea about any product or service. This paper presents a novel approach to get views or comments of Twitter users about plastic surgery treatments. The proposed approach uses machine-learning technique embedded with the naive Bayesian classifier to assign polarities (i.e. positive, negative or neutral) to the tweets, collected from Twitter micro-blogging website. The accuracy of the obtained results has been validated using precision, recall and F-score measures. It has been observed from 25000 tweets dataset that people tend to have positive as well as substantial negative opinions regarding particular treatments. The experimental results show the effectiveness of the proposed approach. (author)

  19. The Impact of Conventional and Unconventional Monetary Policy on Investor Sentiment

    DEFF Research Database (Denmark)

    Lutz, Chandler

    2015-01-01

    This paper examines the relationship between monetary policy and investor sentiment across conventional and unconventional monetary policy regimes. During conventional times, we find that a surprise decrease in the fed funds rate leads to a large increase in investor sentiment. Similarly, when...... the fed funds rate is at its zero lower bound, research results indicate that expansionary unconventional monetary policy shocks also have a large and positive impact on investor mood. Together, our findings highlight the importance of both conventional and unconventional monetary policy...... in the determination of investor sentiment....

  20. Integrating Piano Keyboarding into the Elementary Classroom: Effects on Memory Skills and Sentiment Toward School.

    Science.gov (United States)

    Marcinkiewicz, Henryk R.; And Others

    1995-01-01

    Discovered that the introduction of piano keyboarding into elementary school music instruction produced a positive effect regarding children's sentiment towards school. No discernible effect was revealed concerning memory skills. Includes statistical data and description of survey questionnaires. (MJP)

  1. 360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet

    Directory of Open Access Journals (Sweden)

    Eleanor Mulholland

    2015-08-01

    Full Text Available Online recommender systems are useful for media asset management where they select the best content from a set of media assets. We have developed an architecture for 360-MAM- Select, a recommender system for educational video content. 360-MAM-Select will utilise sentiment analysis and gamification techniques for the recommendation of media assets. 360-MAM-Select will increase user participation with digital content through improved video recommendations. Here, we discuss the architecture of 360-MAM-Select and the use of the Google Prediction API and EmoSenticNet for 360-MAM-Affect, 360-MAM-Select's sentiment analysis module. Results from testing two models for sentiment analysis, Sentiment Classifier (Google Prediction API and EmoSenticNetClassifer (Google Prediction API + EmoSenticNet are promising. Future work includes the implementation and testing of 360-MAM-Select on video data from YouTube EDU and Head Squeeze.

  2. A Sentiment-Enhanced Hybrid Recommender System for Movie Recommendation: A Big Data Analytics Framework

    Directory of Open Access Journals (Sweden)

    Yibo Wang

    2018-01-01

    Full Text Available Movie recommendation in mobile environment is critically important for mobile users. It carries out comprehensive aggregation of user’s preferences, reviews, and emotions to help them find suitable movies conveniently. However, it requires both accuracy and timeliness. In this paper, a movie recommendation framework based on a hybrid recommendation model and sentiment analysis on Spark platform is proposed to improve the accuracy and timeliness of mobile movie recommender system. In the proposed approach, we first use a hybrid recommendation method to generate a preliminary recommendation list. Then sentiment analysis is employed to optimize the list. Finally, the hybrid recommender system with sentiment analysis is implemented on Spark platform. The hybrid recommendation model with sentiment analysis outperforms the traditional models in terms of various evaluation criteria. Our proposed method makes it convenient and fast for users to obtain useful movie suggestions.

  3. Aspect-based sentiment analysis to review products using Naïve Bayes

    Science.gov (United States)

    Mubarok, Mohamad Syahrul; Adiwijaya, Aldhi, Muhammad Dwi

    2017-08-01

    Product reviews can provide great benefits for consumers and producers. Number of reviews could be ranging from hundreds to thousands and containing various opinions. These make the process of analyzing and extracting information on existing reviews become increasingly difficult. In this research, sentiment analysis was used to analyze and extract sentiment polarity on product reviews based on a specific aspect of the product. This research was conducted in three phases, such as data preprocessing which involves part-of-speech (POS) tagging, feature selection using Chi Square, and classification of sentiment polarity of aspects using Naïve Bayes. Based on evaluation results, it is known that the system is able to perform aspect-based sentiment analysis with its highest F1-Measure of 78.12%.

  4. Impact of Family Sentiments on Indian Woman and Their Buying Behaviour

    OpenAIRE

    Ramesh Babu Kakumanu; Dr. V. Israel Raju; Dr. A. Kishore Kumar

    2015-01-01

    A woman basically is an emotional creature and woman without emotions is like cake without cream. They undergo all types of emotions like joy, fear, anger, humor, sex, empathy and love. Family sentiments are most powerful tools to push woman into emotional state of mind. Family sentiments in the form of relationships, sharing love, caring, security, warmth, sex, and living together are frequently used in the advertisements. This article studies family appeals impact on Indian woman. The age b...

  5. Developing resources for sentiment analysis of informal Arabic text in social media

    OpenAIRE

    Itani, Maher; Roast, Chris; Al-Khayatt, Samir

    2017-01-01

    Natural Language Processing (NLP) applications such as text categorization, machine translation, sentiment analysis, etc., need annotated corpora and lexicons to check quality and performance. This paper describes the development of resources for sentiment analysis specifically for Arabic text in social media. A distinctive feature of the corpora and lexicons developed are that they are determined from informal Arabic that does not conform to grammatical or spelling standards. We refer to Ara...

  6. Sentiment Analysis in Geo Social Streams by using Machine Learning Techniques

    OpenAIRE

    Twanabasu, Bikesh

    2018-01-01

    Treball de Final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial (Pla de 2013). Codi: SIW013. Curs acadèmic 2017-2018 Massive amounts of sentiment rich data are generated on social media in the form of Tweets, status updates, blog post, reviews, etc. Different people and organizations are using these user generated content for decision making. Symbolic techniques or Knowledge base approaches and Machine learning techniques are two main techniques used for analysis sentiment...

  7. What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?

    OpenAIRE

    Bernard Dumas; Alexander Kurshev; Raman Uppal

    2005-01-01

    Our objective is to understand the trading strategy that would allow an investor to take advantage of 'excessive' stock price volatility and 'sentiment' fluctuations. We construct a general equilibrium model of sentiment. In it, there are two classes of agents and stock prices are excessively volatile because one class is overconfident about a public signal. As a result, this class of irrational agents changes its expectations too often, sometimes being excessively optimistic, sometimes being...

  8. Why Do You Spread This Message? Understanding Users Sentiment in Social Media Campaigns

    OpenAIRE

    Mahmud, Jalal; Gao, Huiji

    2014-01-01

    Twitter has been increasingly used for spreading messages about campaigns. Such campaigns try to gain followers through their Twitter accounts, influence the followers and spread messages through them. In this paper, we explore the relationship between followers sentiment towards the campaign topic and their rate of retweeting of messages generated by the campaign. Our analysis with followers of multiple social-media campaigns found statistical significant correlations between such sentiment ...

  9. The Impact of an AirBnb Host's Listing Description 'Sentiment' and Length On Occupancy Rates

    OpenAIRE

    Martinez, Richard Diehl; Carrington, Anthony; Kuo, Tiffany; Tarhuni, Lena; Abdel-Motaal, Nour Adel Zaki

    2017-01-01

    There has been significant literature regarding the way product review sentiment affects brand loyalty. Intrigued by how natural language influences consumer choice, we were motivated to examine whether an AirBnb host's occupancy rate (how often their listing is booked out of the days they indicated their listing was available) can be determined by the perceived sentiment and length of their description summary. Our main goal, more generally, was to determine which features, including (but no...

  10. Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control.

    Science.gov (United States)

    Salathé, Marcel; Khandelwal, Shashank

    2011-10-01

    There is great interest in the dynamics of health behaviors in social networks and how they affect collective public health outcomes, but measuring population health behaviors over time and space requires substantial resources. Here, we use publicly available data from 101,853 users of online social media collected over a time period of almost six months to measure the spatio-temporal sentiment towards a new vaccine. We validated our approach by identifying a strong correlation between sentiments expressed online and CDC-estimated vaccination rates by region. Analysis of the network of opinionated users showed that information flows more often between users who share the same sentiments - and less often between users who do not share the same sentiments - than expected by chance alone. We also found that most communities are dominated by either positive or negative sentiments towards the novel vaccine. Simulations of infectious disease transmission show that if clusters of negative vaccine sentiments lead to clusters of unprotected individuals, the likelihood of disease outbreaks is greatly increased. Online social media provide unprecedented access to data allowing for inexpensive and efficient tools to identify target areas for intervention efforts and to evaluate their effectiveness.

  11. Usability/Sentiment for the Enterprise and ENTERPRISE

    Science.gov (United States)

    Meza, David; Berndt, Sarah

    2014-01-01

    The purpose of the Sentiment of Search Study for NASA Johnson Space Center (JSC) is to gain insight into the intranet search environment. With an initial usability survey, the authors were able to determine a usability score based on the Systems Usability Scale (SUS). Created in 1986, the freely available, well cited, SUS is commonly used to determine user perceptions of a system (in this case the intranet search environment). As with any improvement initiative, one must first examine and document the current reality of the situation. In this scenario, a method was needed to determine the usability of a search interface in addition to the user's perception on how well the search system was providing results. The use of the SUS provided a mechanism to quickly ascertain information in both areas, by adding one additional open-ended question at the end. The first ten questions allowed us to examine the usability of the system, while the last questions informed us on how the users rated the performance of the search results. The final analysis provides us with a better understanding of the current situation and areas to focus on for improvement. The power of search applications to enhance knowledge transfer is indisputable. The performance impact for any user unable to find needed information undermines project lifecycle, resource and scheduling requirements. Ever-increasing complexity of content and the user interface make usability considerations for the intranet, especially for search, a necessity instead of a 'nice-to-have'. Despite these arguments, intranet usability is largely disregarded due to lack of attention beyond the functionality of the infrastructure (White, 2013). The data collected from users of the JSC search system revealed their overall sentiment by means of the widely-known System Usability Scale. Results of the scores suggest 75%, +/-0.04, of the population rank the search system below average. In terms of a grading scaled, this equated to D or

  12. ‘Thousands of throbbing hearts' - Sentimentality and community in popular Victorian poetry: Longfellow's Evangeline and Tennyson's Enoch Arden

    Directory of Open Access Journals (Sweden)

    Kirstie Blair

    2007-04-01

    Full Text Available This essay explores the function of sentimentality in popular nineteenth-century narrative poetry by focusing on Tennyson's 'Enoch Arden' and Longfellow's 'Evangeline', two poems that have suffered relative critical neglect due to their status as sentimental verse. It argues that both texts, in their stories of exile, alienation and eventual recuperation, set up their hero and heroine as role-models for ways of feeling and use them to examine the possibility of using personal feeling as a conduit for communal sentiment. While both poems deploy the standard tropes of Victorian sentimentality, the ambiguous conclusions of 'Enoch Arden 'and 'Evangeline' , I argue, call into question the clichés of sentimental discourse. The fates of Enoch and of Evangeline offer, to some extent, a darker vision of the potential for sentimental responses to an individual's suffering to create feeling communities either within or without the poem.

  13. Towards an Italian Lexicon for Polarity Classification (polarITA): a Comparative Analysis of Lexical Resources for Sentiment Analysis

    OpenAIRE

    Hernández Farías, Delia Irazú; Laganà, Irene; Patti, Viviana; Bosco, Cristina

    2018-01-01

    The paper describes a preliminary study for the development of a novel lexicon for Italian sentiment analysis, i.e. where words are associated with polarity values. Given the influence of sentiment lexica on the performance of sentiment analysis systems, a methodology based on the detection and classification of errors in existing lexical resources is proposed and an extrinsic evaluation of the impact of such errors is applied. The final aim is to build a novel resource from the filtering app...

  14. The Impact of Investors¡¯ Sentiment on the Equity Market: Evidence from Ghanaian Stock Market

    OpenAIRE

    Ebenezer Bennet; Lydia Obenewaa Amoako; Ricky Okine Charles; Asumadu Edward; Joseph Asante Darkwah

    2012-01-01

    Investor¡¯s Sentiment plays a major role in choosing which stocks we invest. Investors¡¯ sentiment can be defined as investors¡¯ attitude and opinion towards investing in the Stocks. The aim of this research is to analyse the individual investor¡¯s sentiment and also to analyse the influence of Market Specific Factors on investors¡¯ sentiment. The investor¡¯s attitude towards investing is influenced by rumours, intuition, herd behaviour among investors and media coverage of the stock. 100 inv...

  15. Sentiment and Vision in Charles Dickens's A Christmas Carol and The Cricket on the Hearth

    Directory of Open Access Journals (Sweden)

    Heather Tilley

    2007-04-01

    Full Text Available This essay explores the ways in which sentimentality is manifested through the visible, and through associative functions of the eye, in two of Dickens's Christmas books of the 1840s. I situate the relationship between vision and sentiment within discourses from eighteenth-century moral philosophy, as Adam Smith's figure of the “Impartial Spectator” (of central importance to the development of ideas around sympathy is constructed mainly through the visual. I focus on two of the Christmas Books as they offer an interesting local study to test these ideas, coming at a critical juncture within the development of Dickens's own writing style, and also at an important historical moment within an investigation into Victorian sentimentality. Within Dickens's writing, sentimentality is typically associated with the exaggerated emotional portrayal of pathetic scenes (particularly the deaths of children, designed to elicit emotional responses from the reader. However, behind the hyperbole rests a concern with the self's need to take social, ethical and moral care of others, and the role of literature and art in tutoring the reader's emotional response, with the eye playing a crucial role in this act. I further explore the way in which Dickens's interest in blindness both reinforces, and points to certain disturbances, in his sentimental vision.

  16. Sentiment Analysis in the Sales Review of Indonesian Marketplace by Utilizing Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Anang Anggono Lutfi

    2018-04-01

    Full Text Available The online store is changing people’s shopping behavior. Despite the fact, the potential customer’s distrust in the quality of products and service is one of the online store’s weaknesses. A review is provided by the online stores to overcome this weakness. Customers often write a review using languages that are not well structured. Sentiment analysis is used to extract the polarity of the unstructured texts. This research attempted to do a sentiment analysis in the sales review. Sentiment analysis in sales reviews can be used as a tool to evaluate the sales. This research intends to conduct a sentiment analysis in the sales review of Indonesian marketplace by utilizing Support Vector Machine and Naive Bayes. The reviews of the data are gathered from one of Indonesian marketplace, Bukalapak. The data are classified into positive or negative class. TF-IDF is used to feature extraction. The experiment shows that Support Vector Machine with linear kernel provides higher accuracy than Naive Bayes. Support Vector Machine shows the highest accuracy average. The generated accuracy is 93.65%. This approach of sentiment analysis in sales review can be used as the base of intelligent sales evaluation for online stores in the future.

  17. Measuring e-Commerce service quality from online customer review using sentiment analysis

    Science.gov (United States)

    Kencana Sari, Puspita; Alamsyah, Andry; Wibowo, Sulistyo

    2018-03-01

    The biggest e-Commerce challenge to understand their market is to chart their level of service quality according to customer perception. The opportunities to collect user perception through online user review is considered faster methodology than conducting direct sampling methodology. To understand the service quality level, sentiment analysis methodology is used to classify the reviews into positive and negative sentiment for five dimensions of electronic service quality (e-Servqual). As case study in this research, we use Tokopedia, one of the biggest e-Commerce service in Indonesia. We obtain the online review comments about Tokopedia service quality during several month observations. The Naïve Bayes classification methodology is applied for the reason of its high-level accuracy and support large data processing. The result revealed that personalization and reliability dimension required more attention because have high negative sentiment. Meanwhile, trust and web design dimension have high positive sentiments that means it has very good services. The responsiveness dimension have balance sentiment positive and negative.

  18. Investor’s Sentiments and Stock Market Volatility: an empirical evidence from emerging stock market

    Directory of Open Access Journals (Sweden)

    Mobeen Ur Rehman

    2013-05-01

    Full Text Available The concept of efficient market hypothesis has prevailed the financial markets for a long time which says that the prices of the securities reflect all available information. This approach was mainly followed by the rational investors but with the passage of time, the concept of behavioral finance emerged due to some of the major global financial crashes. This concept states that there are investors trading in the market making decisions on the basis of sentiments not on any fundamental information. Such class of traders is called the noise traders and they are mainly responsible for any disruption in the returns of the securities. In this paper we will try to find whether these sentiments of the investors affect the returns of the securities listed on the Karachi stock exchange. We will use the investor sentiment index that uses the six proxies the data on which has been collected mainly from the Karachi stock exchange. Volatility of the stock market returns will be calculated and regressed with the sentimental equation discussed above as the independent variable. This study will help us to find out the extent to which these sentiments influence the stock market returns in weak form efficient market and also it will help us to identify the presence of such irrational noise traders in our financial market.

  19. Quantifying the cross-sectional relationship between online sentiment and the skewness of stock returns

    Science.gov (United States)

    Shen, Dehua; Liu, Lanbiao; Zhang, Yongjie

    2018-01-01

    The constantly increasing utilization of social media as the alternative information channel, e.g., Twitter, provides us a unique opportunity to investigate the dynamics of the financial market. In this paper, we employ the daily happiness sentiment extracted from Twitter as the proxy for the online sentiment dynamics and investigate its association with the skewness of stock returns of 26 international stock market index returns. The empirical results show that: (1) by dividing the daily happiness sentiment into quintiles from the least to the most happiness days, the skewness of the Most-happiness subgroup is significantly larger than that of the Least-happiness subgroup. Besides, there exist significant differences in any pair of subgroups; (2) in an event study methodology, we further show that the skewness around the highest happiness days is significantly larger than the skewness around the lowest happiness days.

  20. Dissemination Patterns and Associated Network Effects of Sentiments in Social Networks

    DEFF Research Database (Denmark)

    Hillmann, Robert; Trier, Matthias

    2012-01-01

    . The dissemination patterns analyzed in this study consist of network motifs based on triples of actors and the ties among them. These motifs are associated with common social network effects to derive meaningful insights about dissemination activities. The data basis includes several thousand social networks...... with textual messages classified according to embedded positive and negative sentiments. Based on this data, sub-networks are extracted and analyzed with a dynamic network motif analysis to determine dissemination patterns and associated network effects. Results indicate that the emergence of digital social...... networks exhibits a strong tendency towards reciprocity, followed by the dominance of hierarchy as an intermediate step leading to social clustering with hubs and transitivity effects for both positive and negative sentiments to the same extend. Sentiments embedded in exchanged textual messages do only...

  1. Sentiment Propagation in Social Networks: A Case Study in LiveJournal

    Science.gov (United States)

    Zafarani, Reza; Cole, William D.; Liu, Huan

    Social networking websites have facilitated a new style of communication through blogs, instant messaging, and various other techniques. Through collaboration, millions of users participate in millions of discussions every day. However, it is still difficult to determine the extent to which such discussions affect the emotions of the participants. We surmise that emotionally-oriented discussions may affect a given user's general emotional bent and be reflected in other discussions he or she may initiate or participate in. It is in this way that emotion (or sentiment) may propagate through a network. In this paper, we analyze sentiment propagation in social networks, review the importance and challenges of such a study, and provide methodologies for measuring this kind of propagation. A case study has been conducted on a large dataset gathered from the LiveJournal social network. Experimental results are promising in revealing some aspects of the sentiment propagation taking place in social networks.

  2. Sentiments that Affect Sociopolitical Legitimation of TNCs in Bangladesh, India, and Pakistan

    DEFF Research Database (Denmark)

    Bakhtiar Rana, Mohammad; Sørensen, Olav Jull

    2014-01-01

    Our study investigates the transnational enterprises' (TNCs’) socio-political legitimization in Bangladesh, India, and Pakistan with a view to ensuring sustainability in the institutional context. We took institutional perspective as a theoretical lens, used a grounded theory method, and employed...... and patriotism,’ and ‘ecological balance’, and suggest that tensions stemming from these three sentiments can be managed and often turned into opportunities if appropriate strategies are applied. Eight types of strategies derived from the nine case studies are presented in order to mitigate, manage, and cash...... in on the REN-sentiments in South Asian markets. These strategies include collaboration strategy, local development strategy, strategy of alignment with socio-political actors, local name and staffing strategy, hibernation strategy, sentiment-focused strategy, isomorphism strategy, and openness strategy....

  3. Two kinds of respect for two kinds of contempt: Why contempt can be both a sentiment and an emotion.

    Science.gov (United States)

    Cova, Florian; Deonna, Julien; Sander, David; Teroni, Fabrice

    2017-01-01

    Gervais & Fessler argue that because contempt is a sentiment, it cannot be an emotion. However, like many affective labels, it could be that "contempt" refers both to a sentiment and to a distinct emotion. This possibility is made salient by the fact that contempt can be defined by contrast with respect, but that there are different kinds of respect.

  4. COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines

    NARCIS (Netherlands)

    Schouten, Kim; Frasincar, Flavius; de Jong, F.M.G.

    2017-01-01

    This paper describes our submission to Task 5 of SemEval 2017, Fine-Grained Sentiment Analysis on Financial Microblogs and News, where we limit ourselves to performing sentiment analysis on news headlines only (track 2). The approach presented in this paper uses a Support Vector Machine to do the

  5. The perception of ethnic diversity and anti-immigrant sentiments: a multilevel analysis of local communities in Belgium

    NARCIS (Netherlands)

    Hooghe, Marc; de Vroome, Thomas

    2015-01-01

    Most of the literature suggests a positive relationship between immigrant concentration and anti-immigrant sentiments. The main goal of this study is to investigate the impact of both perceived and actual size of migrant populations on anti-immigrant sentiments. A representative survey of

  6. On the deep structure of social affect: Attitudes, emotions, sentiments, and the case of "contempt".

    Science.gov (United States)

    Gervais, Matthew M; Fessler, Daniel M T

    2017-01-01

    Contempt is typically studied as a uniquely human moral emotion. However, this approach has yielded inconclusive results. We argue this is because the folk affect concept "contempt" has been inaccurately mapped onto basic affect systems. "Contempt" has features that are inconsistent with a basic emotion, especially its protracted duration and frequently cold phenomenology. Yet other features are inconsistent with a basic attitude. Nonetheless, the features of "contempt" functionally cohere. To account for this, we revive and reconfigure the sentiment construct using the notion of evolved functional specialization. We develop the Attitude-Scenario-Emotion (ASE) model of sentiments, in which enduring attitudes represent others' social-relational value and moderate discrete emotions across scenarios. Sentiments are functional networks of attitudes and emotions. Distinct sentiments, including love, respect, like, hate, and fear, track distinct relational affordances, and each is emotionally pluripotent, thereby serving both bookkeeping and commitment functions within relationships. The sentiment contempt is an absence of respect; from cues to others' low efficacy, it represents them as worthless and small, muting compassion, guilt, and shame and potentiating anger, disgust, and mirth. This sentiment is ancient yet implicated in the ratcheting evolution of human ultrasocialty. The manifolds of the contempt network, differentially engaged across individuals and populations, explain the features of "contempt," its translatability, and its variable experience as "hot" or "cold," occurrent or enduring, and anger-like or disgust-like. This rapprochement between psychological anthropology and evolutionary psychology contributes both methodological and empirical insights, with broad implications for understanding the functional and cultural organization of social affect.

  7. NRFixer: Sentiment Based Model for Predicting the Fixability of Non-Reproducible Bugs

    Directory of Open Access Journals (Sweden)

    Anjali Goyal

    2017-08-01

    Full Text Available Software maintenance is an essential step in software development life cycle. Nowadays, software companies spend approximately 45\\% of total cost in maintenance activities. Large software projects maintain bug repositories to collect, organize and resolve bug reports. Sometimes it is difficult to reproduce the reported bug with the information present in a bug report and thus this bug is marked with resolution non-reproducible (NR. When NR bugs are reconsidered, a few of them might get fixed (NR-to-fix leaving the others with the same resolution (NR. To analyse the behaviour of developers towards NR-to-fix and NR bugs, the sentiment analysis of NR bug report textual contents has been conducted. The sentiment analysis of bug reports shows that NR bugs' sentiments incline towards more negativity than reproducible bugs. Also, there is a noticeable opinion drift found in the sentiments of NR-to-fix bug reports. Observations driven from this analysis were an inspiration to develop a model that can judge the fixability of NR bugs. Thus a framework, {NRFixer,} which predicts the probability of NR bug fixation, is proposed. {NRFixer} was evaluated with two dimensions. The first dimension considers meta-fields of bug reports (model-1 and the other dimension additionally incorporates the sentiments (model-2 of developers for prediction. Both models were compared using various machine learning classifiers (Zero-R, naive Bayes, J48, random tree and random forest. The bug reports of Firefox and Eclipse projects were used to test {NRFixer}. In Firefox and Eclipse projects, J48 and Naive Bayes classifiers achieve the best prediction accuracy, respectively. It was observed that the inclusion of sentiments in the prediction model shows a rise in the prediction accuracy ranging from 2 to 5\\% for various classifiers.

  8. Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals.

    Science.gov (United States)

    Jung, Hyesil; Park, Hyeoun-Ae; Song, Tae-Min

    2017-07-24

    Social networking services (SNSs) contain abundant information about the feelings, thoughts, interests, and patterns of behavior of adolescents that can be obtained by analyzing SNS postings. An ontology that expresses the shared concepts and their relationships in a specific field could be used as a semantic framework for social media data analytics. The aim of this study was to refine an adolescent depression ontology and terminology as a framework for analyzing social media data and to evaluate description logics between classes and the applicability of this ontology to sentiment analysis. The domain and scope of the ontology were defined using competency questions. The concepts constituting the ontology and terminology were collected from clinical practice guidelines, the literature, and social media postings on adolescent depression. Class concepts, their hierarchy, and the relationships among class concepts were defined. An internal structure of the ontology was designed using the entity-attribute-value (EAV) triplet data model, and superclasses of the ontology were aligned with the upper ontology. Description logics between classes were evaluated by mapping concepts extracted from the answers to frequently asked questions (FAQs) onto the ontology concepts derived from description logic queries. The applicability of the ontology was validated by examining the representability of 1358 sentiment phrases using the ontology EAV model and conducting sentiment analyses of social media data using ontology class concepts. We developed an adolescent depression ontology that comprised 443 classes and 60 relationships among the classes; the terminology comprised 1682 synonyms of the 443 classes. In the description logics test, no error in relationships between classes was found, and about 89% (55/62) of the concepts cited in the answers to FAQs mapped onto the ontology class. Regarding applicability, the EAV triplet models of the ontology class represented about 91

  9. Émeutes urbaines, sentiments d’injustice, mobilisations associatives

    Directory of Open Access Journals (Sweden)

    Éric Marlière

    2011-07-01

    Full Text Available Cet article a pour objectif l’appréhension des répertoires de mobilisations politiques des jeunes dits « des cités ». Pour cela, il faut nous intéresser aux modes de vie de ces jeunes structurés depuis plus de trente ans maintenant autour du chômage et de la précarité et des nouvelles formes de ségrégation. Cette situation engendre chez les jeunes une certaine frustration sociale se manifestant sous la forme d’un sentiment d’injustice plus ou moins diffus. Si les émeutes urbaines constituent le mode d’action le plus médiatique, un certain nombre de jeunes adultes originaires « des cités » réagissent à travers un ensemble d’initiatives associatives nationales et locales comme le montrent les dernières échéances électorales.Urban riots, feeling of injustice and associative mobilizationsThis article’s objective are the understanding of the directories of the political youth called “cities”. For this, we must concern ourselves with life’s styles of the young people structured over 30 years now about unemployment and job insecurity and new forms of segregation. This creates youth frustration manifested as a feeling of injustice more or less diffuse. If the urban riots of action in the most media, a number of young adults from the “cities” are responding through a number of national associations and local initiatives as evidenced by the recent elections.Revueltas urbanas, sentimientos de injusticia, formas asociativasEste artículo tiene como objetivo el aprehender las diferentes formas de las movilizaciones políticas de los jóvenes de los barrios desfavorecidos. Para cumplirlo es necesario que nos interesemos por las maneras de vivir de esos jóvenes cuyas vidas se desarrollan dentro del paro, la precariedad y nuevas formas de segregación. Esta situación engendra una gran frustración social con conciencia más o menos difusa de ser víctimas de injusticias. Si las revueltas urbanas constituyen la

  10. The Potential of General Classroom Observation: Turkish EFL Teachers' Perceptions, Sentiments, and Readiness for Action

    Science.gov (United States)

    Merç, Ali

    2015-01-01

    The purpose of this study was to determine Turkish EFL teachers' attitudes towards classroom observation. 204 teachers from different school settings responded to an online questionnaire. Data were analyzed according to three types of attitudes towards classroom observation: perceptions, sentiments, and readiness for action. The findings revealed…

  11. Building a house of sentiment on sand: Epistemological issues with contempt.

    Science.gov (United States)

    Lench, Heather C; Bench, Shane W; Perez, Kenneth A

    2017-01-01

    Contempt shares its features with other emotions, indicating that there is no justification for creating "sentiment" as a new category of feelings. Scientific categories must be created or updated on the basis of evidence. Building a new category on the currently limited contempt literature would be akin to building a house on sand - likely to fall at any moment.

  12. Prediction of advertisement preference by fusing EEG response and sentiment analysis.

    Science.gov (United States)

    Gauba, Himaanshu; Kumar, Pradeep; Roy, Partha Pratim; Singh, Priyanka; Dogra, Debi Prosad; Raman, Balasubramanian

    2017-08-01

    This paper presents a novel approach to predict rating of video-advertisements based on a multimodal framework combining physiological analysis of the user and global sentiment-rating available on the internet. We have fused Electroencephalogram (EEG) waves of user and corresponding global textual comments of the video to understand the user's preference more precisely. In our framework, the users were asked to watch the video-advertisement and simultaneously EEG signals were recorded. Valence scores were obtained using self-report for each video. A higher valence corresponds to intrinsic attractiveness of the user. Furthermore, the multimedia data that comprised of the comments posted by global viewers, were retrieved and processed using Natural Language Processing (NLP) technique for sentiment analysis. Textual contents from review comments were analyzed to obtain a score to understand sentiment nature of the video. A regression technique based on Random forest was used to predict the rating of an advertisement using EEG data. Finally, EEG based rating is combined with NLP-based sentiment score to improve the overall prediction. The study was carried out using 15 video clips of advertisements available online. Twenty five participants were involved in our study to analyze our proposed system. The results are encouraging and these suggest that the proposed multimodal approach can achieve lower RMSE in rating prediction as compared to the prediction using only EEG data. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics.

    Directory of Open Access Journals (Sweden)

    Gabriele Ranco

    Full Text Available The new digital revolution of big data is deeply changing our capability of understanding society and forecasting the outcome of many social and economic systems. Unfortunately, information can be very heterogeneous in the importance, relevance, and surprise it conveys, affecting severely the predictive power of semantic and statistical methods. Here we show that the aggregation of web users' behavior can be elicited to overcome this problem in a hard to predict complex system, namely the financial market. Specifically, our in-sample analysis shows that the combined use of sentiment analysis of news and browsing activity of users of Yahoo! Finance greatly helps forecasting intra-day and daily price changes of a set of 100 highly capitalized US stocks traded in the period 2012-2013. Sentiment analysis or browsing activity when taken alone have very small or no predictive power. Conversely, when considering a news signal where in a given time interval we compute the average sentiment of the clicked news, weighted by the number of clicks, we show that for nearly 50% of the companies such signal Granger-causes hourly price returns. Our result indicates a "wisdom-of-the-crowd" effect that allows to exploit users' activity to identify and weigh properly the relevant and surprising news, enhancing considerably the forecasting power of the news sentiment.

  14. Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics.

    Science.gov (United States)

    Ranco, Gabriele; Bordino, Ilaria; Bormetti, Giacomo; Caldarelli, Guido; Lillo, Fabrizio; Treccani, Michele

    2016-01-01

    The new digital revolution of big data is deeply changing our capability of understanding society and forecasting the outcome of many social and economic systems. Unfortunately, information can be very heterogeneous in the importance, relevance, and surprise it conveys, affecting severely the predictive power of semantic and statistical methods. Here we show that the aggregation of web users' behavior can be elicited to overcome this problem in a hard to predict complex system, namely the financial market. Specifically, our in-sample analysis shows that the combined use of sentiment analysis of news and browsing activity of users of Yahoo! Finance greatly helps forecasting intra-day and daily price changes of a set of 100 highly capitalized US stocks traded in the period 2012-2013. Sentiment analysis or browsing activity when taken alone have very small or no predictive power. Conversely, when considering a news signal where in a given time interval we compute the average sentiment of the clicked news, weighted by the number of clicks, we show that for nearly 50% of the companies such signal Granger-causes hourly price returns. Our result indicates a "wisdom-of-the-crowd" effect that allows to exploit users' activity to identify and weigh properly the relevant and surprising news, enhancing considerably the forecasting power of the news sentiment.

  15. Economic sentiment indicator and its information capability in the Czech Republic

    Directory of Open Access Journals (Sweden)

    Radka Martináková

    2013-01-01

    Full Text Available The paper focuses on the indicators of economic agents’ perceptions in the Czech Republic. We assume that these information are provided by economic sentiment indicator surveys based on the Joint Harmonised EU Programme. The aim of this paper is to offer the alternate methodology of qualitative data transformation (balance statistic data in relation with the macroeconomic quantitative indicators. In the empirical analysis we distinguished between the indicators of confidence in industry, construction, retail and consumer confidence indicator. We found link between the aggregate economic sentiment indicator and economic activity. Especially, aggregate economic sentiment indicator copies the development of the GDP. However, partial indicators does not follow changes in the specific sectors of the economy. We also found that economic agents underestimate the intensity of the economic recession after the year 2007.Finally, we cannot recommend the economic sentiment indicator as the leading indicator of the future economic activity in the Czech Republic. Our methodological contribution is in quantifying of the consumer survey results by standardization.

  16. Predicting Equity Markets with Digital Online Media Sentiment: Evidence from Markov-switching Models

    NARCIS (Netherlands)

    Nooijen, S.J.; Broda, S.A.

    2016-01-01

    The authors examine the predictive capabilities of online investor sentiment for the returns and volatility of MSCI U.S. Equity Sector Indices by including exogenous variables in the mean and volatility specifications of a Markov-switching model. As predicted by the semistrong efficient market

  17. Sentiments, Attitudes, and Concerns about Inclusion: Early Years in Teacher Education Programs

    Science.gov (United States)

    Cansiz, Mustafa; Cansiz, Nurcan

    2018-01-01

    This study aims to examine preservice teachers' sentiments toward students with special needs, attitudes, and concerns about inclusive education in terms of a number of demographic variables. These demographics included major area, grade level, gender, interaction with disabled people, training for inclusive education, self-confidence for teaching…

  18. Sentiment Analysis Based on Psychological and Linguistic Features for Spanish Language

    KAUST Repository

    Salas-Zá rate, Marí a Pilar; Paredes-Valverde, Mario André s; Rodriguez-Garcia, Miguel Angel; Valencia-Garcí a, Rafael; Alor-Herná ndez, Giner

    2017-01-01

    in the Social Media (e.g. forums, blogs, and social networks) concerning to users’ opinions about experiences buying products and hiring services. Sentiment analysis or opinion mining is the field of study that analyses people’s opinions and mood from written

  19. Machine News and Volatility: The Dow Jones Industrial Average and the TRNA Sentiment Series

    NARCIS (Netherlands)

    D.E. Allen (David); A.K. Singh (Abhay)

    2014-01-01

    markdownabstract__Abstract__ This paper features an analysis of the relationship between the volatility of the Dow Jones Industrial Average (DJIA) Index and a sentiment news series using daily data obtained from the Thomson Reuters News Analytics (TRNA) provided by SIRCA (The Securities Industry

  20. Determination of quality television programmes based on sentiment analysis on Twitter

    Science.gov (United States)

    Amalia, A.; Oktinas, W.; Aulia, I.; Rahmat, R. F.

    2018-03-01

    Public sentiment from social media like Twitter can be used as one of the indicators to determine the quality of TV Programmes. In this study, we implemented information extraction on Twitter by using sentiment analysis method to assess the quality of TV Programmes. The first stage of this study is pre-processing which consists of cleansing, case folding, tokenizing, stop-word removal, stemming, and redundancy filtering. The next stage is weighting process for every single word by using TF-IDF method. The last step of this study is the sentiment classification process which is divided into three sentiment category which is positive, negative and neutral. We classify the TV programmes into several categories such as news, children, or films/soap operas. We implemented an improved k-nearest neighbor method in classification 4000 twitter status, for four biggest TV stations in Indonesia, with ratio 70% data for training and 30% of data for the testing process. The result obtained from this research generated the highest accuracy with k=10 as big as 90%.

  1. The Relationship between Market Sentiment Index and Stock Rates of Return: a Panel Data Analysis

    Directory of Open Access Journals (Sweden)

    Claudia Emiko Yoshinaga

    2012-04-01

    Full Text Available This article analyzes the relationship between market sentiment and future stock rates of return. We used amethodology based on principal component analysis to create a sentiment index for the Brazilian market withdata from 1999 to 2008. The sample consisted of companies listed on BM&FBOVESPA which were groupedinto quintiles, each representing a portfolio, according to the magnitude of the following characteristics: marketvalue, total annualized risk and listing time on BM&FBOVESPA. Next, we calculated the average return of eachportfolio for every quarter. The data for the first and last quintiles were analyzed via two-factor ANOVA, usingsentiment index of the previous period (positive or negative as the main factor and each characteristic ascontrolling factors. Finally, the sentiment index was included in a panel data pricing model. The results indicatea significant and negative relationship between the market sentiment index and the future rates of return. Thesefindings suggest the existence of a reversion pattern in stock returns, meaning that after a positive sentimentperiod, the impact on subsequent stock returns is negative, and vice-versa.

  2. A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes.

    Science.gov (United States)

    Ghassemi, Mohammad M; Mark, Roger G; Nemati, Shamim

    2015-09-01

    Our objective in this paper was to visualize the evolution of clinical language and sentiment with respect to several common population-level categories including: time in the hospital, age, mortality, gender and race. Our analysis utilized seven years of unstructured free text notes from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) database. The text data was partitioned by category and used to generate several high dimensional vector space representations. We generated visualizations of the vector spaces using Distributed Stochastic Neighbor Embedding (tSNE) and Principal Component Analysis (PCA). We also investigated representative words from clusters in the vector space. Lastly, we inferred the general sentiment of the clinical notes toward each parameter by gauging the average distance between positive and negative keywords and all other terms in the space. We found intriguing differences in the sentiment of clinical notes over time, outcome, and demographic features. We noted a decrease in the homogeneity and complexity of clusters over time for patients with poor outcomes. We also found greater positive sentiment for females, unmarried patients, and patients of African ethnicity.

  3. Using Twitter to Better Understand the Spatiotemporal Patterns of Public Sentiment: A Case Study in Massachusetts, USA.

    Science.gov (United States)

    Cao, Xiaodong; MacNaughton, Piers; Deng, Zhengyi; Yin, Jie; Zhang, Xi; Allen, Joseph G

    2018-02-02

    Twitter provides a rich database of spatiotemporal information about users who broadcast their real-time opinions, sentiment, and activities. In this paper, we sought to investigate the holistic influence of land use and time period on public sentiment. A total of 880,937 tweets posted by 26,060 active users were collected across Massachusetts (MA), USA, through 31 November 2012 to 3 June 2013. The IBM Watson Alchemy API (application program interface) was employed to quantify the sentiment scores conveyed by tweets on a large scale. Then we statistically analyzed the sentiment scores across different spaces and times. A multivariate linear mixed-effects model was used to quantify the fixed effects of land use and the time period on the variations in sentiment scores, considering the clustering effect of users. The results exposed clear spatiotemporal patterns of users' sentiment. Higher sentiment scores were mainly observed in the commercial and public areas, during the noon/evening and on weekends. Our findings suggest that social media outputs can be used to better understand the spatial and temporal patterns of public happiness and well-being in cities and regions.

  4. Using Twitter to Better Understand the Spatiotemporal Patterns of Public Sentiment: A Case Study in Massachusetts, USA

    Directory of Open Access Journals (Sweden)

    Xiaodong Cao

    2018-02-01

    Full Text Available Twitter provides a rich database of spatiotemporal information about users who broadcast their real-time opinions, sentiment, and activities. In this paper, we sought to investigate the holistic influence of land use and time period on public sentiment. A total of 880,937 tweets posted by 26,060 active users were collected across Massachusetts (MA, USA, through 31 November 2012 to 3 June 2013. The IBM Watson Alchemy API (application program interface was employed to quantify the sentiment scores conveyed by tweets on a large scale. Then we statistically analyzed the sentiment scores across different spaces and times. A multivariate linear mixed-effects model was used to quantify the fixed effects of land use and the time period on the variations in sentiment scores, considering the clustering effect of users. The results exposed clear spatiotemporal patterns of users’ sentiment. Higher sentiment scores were mainly observed in the commercial and public areas, during the noon/evening and on weekends. Our findings suggest that social media outputs can be used to better understand the spatial and temporal patterns of public happiness and well-being in cities and regions.

  5. "When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.

    Science.gov (United States)

    Daniulaityte, Raminta; Chen, Lu; Lamy, Francois R; Carlson, Robert G; Thirunarayan, Krishnaprasad; Sheth, Amit

    2016-10-24

    To harness the full potential of social media for epidemiological surveillance of drug abuse trends, the field needs a greater level of automation in processing and analyzing social media content. The objective of the study is to describe the development of supervised machine-learning techniques for the eDrugTrends platform to automatically classify tweets by type/source of communication (personal, official/media, retail) and sentiment (positive, negative, neutral) expressed in cannabis- and synthetic cannabinoid-related tweets. Tweets were collected using Twitter streaming Application Programming Interface and filtered through the eDrugTrends platform using keywords related to cannabis, marijuana edibles, marijuana concentrates, and synthetic cannabinoids. After creating coding rules and assessing intercoder reliability, a manually labeled data set (N=4000) was developed by coding several batches of randomly selected subsets of tweets extracted from the pool of 15,623,869 collected by eDrugTrends (May-November 2015). Out of 4000 tweets, 25% (1000/4000) were used to build source classifiers and 75% (3000/4000) were used for sentiment classifiers. Logistic Regression (LR), Naive Bayes (NB), and Support Vector Machines (SVM) were used to train the classifiers. Source classification (n=1000) tested Approach 1 that used short URLs, and Approach 2 where URLs were expanded and included into the bag-of-words analysis. For sentiment classification, Approach 1 used all tweets, regardless of their source/type (n=3000), while Approach 2 applied sentiment classification to personal communication tweets only (2633/3000, 88%). Multiclass and binary classification tasks were examined, and machine-learning sentiment classifier performance was compared with Valence Aware Dictionary for sEntiment Reasoning (VADER), a lexicon and rule-based method. The performance of each classifier was assessed using 5-fold cross validation that calculated average F-scores. One-tailed t test was

  6. Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis.

    Science.gov (United States)

    Rose, Shyanika W; Jo, Catherine L; Binns, Steven; Buenger, Melissa; Emery, Sherry; Ribisl, Kurt M

    2017-02-27

    Menthol cigarettes are used disproportionately by African American, female, and adolescent smokers. Twitter is also used disproportionately by minority and younger populations, providing a unique window into conversations reflecting social norms, behavioral intentions, and sentiment toward menthol cigarettes. Our purpose was to identify the content and frequency of conversations about menthol cigarettes, including themes, populations, user smoking status, other tobacco or substances, tweet characteristics, and sentiment. We also examined differences in menthol cigarette sentiment by prevalent categories, which allowed us to assess potential perceptions, misperceptions, and social norms about menthol cigarettes on Twitter. This approach can inform communication about these products, particularly to subgroups who are at risk for menthol cigarette use. Through a combination of human and machine classification, we identified 94,627 menthol cigarette-relevant tweets from February 1, 2012 to January 31, 2013 (1 year) from over 47 million tobacco-related messages gathered prospectively from the Twitter Firehose of all public tweets and metadata. Then, 4 human coders evaluated a random sample of 7000 tweets for categories, including sentiment toward menthol cigarettes. We found that 47.98% (3194/6657) of tweets expressed positive sentiment, while 40.26% (2680/6657) were negative toward menthol cigarettes. The majority of tweets by likely smokers (2653/4038, 65.70%) expressed positive sentiment, while 91.2% (320/351) of nonsmokers and 71.7% (91/127) of former smokers indicated negative views. Positive views toward menthol cigarettes were predominant in tweets that discussed addiction or craving, marijuana, smoking, taste or sensation, song lyrics, and tobacco industry or marketing or tweets that were commercial in nature. Negative views toward menthol were more common in tweets about smoking cessation, health, African Americans, women, and children and adolescents

  7. Can investor sentiment be used to predict the stock price? Dynamic analysis based on China stock market

    Science.gov (United States)

    Guo, Kun; Sun, Yi; Qian, Xin

    2017-03-01

    With the development of the social network, the interaction between investors in stock market became more fast and convenient. Thus, investor sentiment which can influence their investment decisions may be quickly spread and magnified through the network, and to a certain extent the stock market can be affected. This paper collected the user comments data from a popular professional social networking site of China stock market called Xueqiu, then the investor sentiment data can be obtained through semantic analysis. The dynamic analysis on relationship between investor sentiment and stock market is proposed based on Thermal Optimal Path (TOP) method. The results show that the sentiment data was not always leading over stock market price, and it can be used to predict the stock price only when the stock has high investor attention.

  8. Experimental Research in Operation Management in Engine Room by using Language Sentiment/Opinion Analysis

    Directory of Open Access Journals (Sweden)

    Dimitris Papachristos

    2014-12-01

    Full Text Available The paper argues for the necessity of a combination MMR methods (questionnaire, interview and sentiment/opinion techniques to personal satisfaction analysis at the maritime and training education and proposes a generic, but practical research approach for this purpose. The proposed approach concerns the personal satisfaction evaluation of Engine Room simulator systems and combines the speech recording (sentiment/opinion analysis for measuring emotional user responses with usability testing (SUS tool. The experimental procedure presented here is a primary effort to research the emotion analysis (satisfaction of the users-students in Engine Room Simulators. Finally, the ultimate goal of this research is to find and test the critical factors that influence the educational practice and user’s satisfaction of Engine Room Simulator Systems and the ability to conduct full-time system control by the marine crew.

  9. Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ₁ Regularization.

    Science.gov (United States)

    Hernandez-Suarez, Aldo; Sanchez-Perez, Gabriel; Toscano-Medina, Karina; Martinez-Hernandez, Victor; Perez-Meana, Hector; Olivares-Mercado, Jesus; Sanchez, Victor

    2018-04-29

    In recent years, online social media information has been the subject of study in several data science fields due to its impact on users as a communication and expression channel. Data gathered from online platforms such as Twitter has the potential to facilitate research over social phenomena based on sentiment analysis, which usually employs Natural Language Processing and Machine Learning techniques to interpret sentimental tendencies related to users’ opinions and make predictions about real events. Cyber-attacks are not isolated from opinion subjectivity on online social networks. Various security attacks are performed by hacker activists motivated by reactions from polemic social events. In this paper, a methodology for tracking social data that can trigger cyber-attacks is developed. Our main contribution lies in the monthly prediction of tweets with content related to security attacks and the incidents detected based on ℓ 1 regularization.

  10. Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ1 Regularization

    Directory of Open Access Journals (Sweden)

    Aldo Hernandez-Suarez

    2018-04-01

    Full Text Available In recent years, online social media information has been the subject of study in several data science fields due to its impact on users as a communication and expression channel. Data gathered from online platforms such as Twitter has the potential to facilitate research over social phenomena based on sentiment analysis, which usually employs Natural Language Processing and Machine Learning techniques to interpret sentimental tendencies related to users’ opinions and make predictions about real events. Cyber-attacks are not isolated from opinion subjectivity on online social networks. Various security attacks are performed by hacker activists motivated by reactions from polemic social events. In this paper, a methodology for tracking social data that can trigger cyber-attacks is developed. Our main contribution lies in the monthly prediction of tweets with content related to security attacks and the incidents detected based on ℓ 1 regularization.

  11. Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.

    Science.gov (United States)

    Dashtipour, Kia; Poria, Soujanya; Hussain, Amir; Cambria, Erik; Hawalah, Ahmad Y A; Gelbukh, Alexander; Zhou, Qiang

    With the advent of Internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explosively. However, the majority of research efforts are devoted to English-language data, while a great share of information is available in other languages. We present a state-of-the-art review on multilingual sentiment analysis. More importantly, we compare our own implementation of existing approaches on common data. Precision observed in our experiments is typically lower than the one reported by the original authors, which we attribute to the lack of detail in the original presentation of those approaches. Thus, we compare the existing works by what they really offer to the reader, including whether they allow for accurate implementation and for reliable reproduction of the reported results.

  12. Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using ℓ1 Regularization

    Science.gov (United States)

    Sanchez-Perez, Gabriel; Toscano-Medina, Karina; Martinez-Hernandez, Victor; Olivares-Mercado, Jesus; Sanchez, Victor

    2018-01-01

    In recent years, online social media information has been the subject of study in several data science fields due to its impact on users as a communication and expression channel. Data gathered from online platforms such as Twitter has the potential to facilitate research over social phenomena based on sentiment analysis, which usually employs Natural Language Processing and Machine Learning techniques to interpret sentimental tendencies related to users’ opinions and make predictions about real events. Cyber-attacks are not isolated from opinion subjectivity on online social networks. Various security attacks are performed by hacker activists motivated by reactions from polemic social events. In this paper, a methodology for tracking social data that can trigger cyber-attacks is developed. Our main contribution lies in the monthly prediction of tweets with content related to security attacks and the incidents detected based on ℓ1 regularization. PMID:29710833

  13. Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study.

    Science.gov (United States)

    Metwally, Omar; Blumberg, Seth; Ladabaum, Uri; Sinha, Sidhartha R

    2017-06-07

    Although cancer screening reduces morbidity and mortality, millions of people worldwide remain unscreened. Social media provide a unique platform to understand public sentiment toward tools that are commonly used for cancer screening. The objective of our study was to examine public sentiment toward colonoscopy, mammography, and Pap smear and how this sentiment spreads by analyzing discourse on Twitter. In this observational study, we classified 32,847 tweets (online postings on Twitter) related to colonoscopy, mammography, or Pap smears using a naive Bayes algorithm as containing positive, negative, or neutral sentiment. Additionally, we characterized the spread of sentiment on Twitter using an established model to study contagion. Colonoscopy-related tweets were more likely to express negative than positive sentiment (negative to positive ratio 1.65, 95% CI 1.51-1.80, Psocial media data provides a unique, quantitative framework to better understand the public's perception of medical interventions that are commonly used for cancer screening. Given the growing use of social media, public health interventions to improve cancer screening should use the health perceptions of the population as expressed in social network postings about tests that are frequently used for cancer screening, as well as other people they may influence with such postings. ©Omar Metwally, Seth Blumberg, Uri Ladabaum, Sidhartha R. Sinha. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 07.06.2017.

  14. Sentiment analysis to determine the impact of online messages on smokers' choices to use varenicline.

    Science.gov (United States)

    Cobb, Nathan K; Mays, Darren; Graham, Amanda L

    2013-12-01

    Social networks are a prominent component of online smoking cessation interventions. This study applied sentiment analysis-a data processing technique that codes textual data for emotional polarity-to examine how exposure to messages about the cessation drug varenicline affects smokers' decision making around its use. Data were from QuitNet, an online social network dedicated to smoking cessation and relapse prevention. Self-reported medication choice at registration and at 30 days was coded among new QuitNet registrants who participated in at least one forum discussion mentioning varenicline between January 31, 2005 and March 9, 2008. Commercially available software was used to code the sentiment of forum messages mentioning varenicline that occurred during this time frame. Logistic regression analyses examined whether forum message exposure predicted medication choice. The sample of 2132 registrants comprised mostly women (78.3%), white participants (83.4%), averaged 41.2 years of age (SD = 10.9), and smoked on average 21.5 (SD = 9.7) cigarettes/day. After adjusting for potential confounders, as exposure to positive varenicline messages outweighed negative messages, the odds of switching to varenicline (odds ratio = 2.05, 95% confidence interval = 1.66 to 2.54) and continuing to use varenicline (odds ratio = 2.46, 95% confidence interval = 1.96 to 3.10) statistically significantly increased. Sentiment analysis is a useful tool for analyzing text-based data to examine their impact on behavior change. Greater exposure to positive sentiment in online conversations about varenicline is associated with a greater likelihood that smokers will choose to use varenicline in a quit attempt.

  15. Behavioural breaks in the heterogeneous agent model: The impact of herding, overconfidence, and market sentiment

    Czech Academy of Sciences Publication Activity Database

    Kukačka, Jiří; Baruník, Jozef

    2013-01-01

    Roč. 392, č. 23 (2013), s. 5920-5938 ISSN 0378-4371 R&D Projects: GA ČR GA402/09/0965 Institutional support: RVO:67985556 Keywords : Heterogeneous agent model * Behavioural finance * Herding * Overconfidence * Market sentiment * Stock market crash Subject RIV: AH - Economics Impact factor: 1.722, year: 2013 http://library.utia.cas.cz/separaty/2013/E/barunik-0395344.pdf

  16. ?When ?Bad? is ?Good??: Identifying Personal Communication and Sentiment in Drug-Related Tweets

    OpenAIRE

    Daniulaityte, Raminta; Chen, Lu; Lamy, Francois R; Carlson, Robert G; Thirunarayan, Krishnaprasad; Sheth, Amit

    2016-01-01

    Background To harness the full potential of social media for epidemiological surveillance of drug abuse trends, the field needs a greater level of automation in processing and analyzing social media content. Objectives The objective of the study is to describe the development of supervised machine-learning techniques for the eDrugTrends platform to automatically classify tweets by type/source of communication (personal, official/media, retail) and sentiment (positive, negative, neutral) expre...

  17. Visual Sentiment Analysis of RSS News Feeds Featuring the US Presidential Election in 2008

    OpenAIRE

    Wanner, Franz; Rohrdantz, Christian; Mansmann, Florian; Oelke, Daniela; Keim, Daniel A.

    2009-01-01

    The technology behind RSS feeds offers great possibilities to retrieve more news items than ever. In contrast to these technical developments, human capabilities to read all these news items have not increased likewise. To bridge this gap, this paper presents a visual analytics tool for conducting semi-automatic sentiment analysis of large news feeds. While the tool automatically retrieves and analyzes RSS feeds with respect to positive and negative opinion words, the more demanding news anal...

  18. A Sentiment-Enhanced Hybrid Recommender System for Movie Recommendation: A Big Data Analytics Framework

    OpenAIRE

    Wang, Yibo; Wang, Mingming; Xu, Wei

    2018-01-01

    Movie recommendation in mobile environment is critically important for mobile users. It carries out comprehensive aggregation of user’s preferences, reviews, and emotions to help them find suitable movies conveniently. However, it requires both accuracy and timeliness. In this paper, a movie recommendation framework based on a hybrid recommendation model and sentiment analysis on Spark platform is proposed to improve the accuracy and timeliness of mobile movie recommender system. In the propo...

  19. Using Sentence-Level Classifiers for Cross-Domain Sentiment Analysis

    Science.gov (United States)

    2014-09-01

    National Defence, 2014 © Sa Majesté la Reine (en droit du Canada), telle que représentée par le ministre de la Défense nationale, 2014 DRDC-RDDC...domain sentiment classification via spectral feature alignment. In Proceedings of the 19th international conference on World Wide Web, WWW ’10...Dennis, S. 5. DATE OF PUBLICATION (Month and year of publication of document.) September 2014 6a. NO. OF PAGES (Total containing information

  20. Towards Aiding Decision-Making in Social Networks by Using Sentiment and Stress Combined Analysis

    OpenAIRE

    Guillem Aguado; Vicente Julian; Ana Garcia-Fornes

    2018-01-01

    The present work is a study of the detection of negative emotional states that people have using social network sites (SNSs), and the effect that this negative state has on the repercussions of posted messages. We aim to discover in which grade a user having an affective state considered negative by an Analyzer can affect other users and generate bad repercussions. Those Analyzers that we propose are a Sentiment Analyzer, a Stress Analyzer and a novel combined Analyzer. We also want to discov...

  1. Using Machine Learning for Sentiment and Social Influence Analysis in Text

    OpenAIRE

    Kolog, Emmanuel Awuni; Montero, Calkin Suero; Toivonen, Tapani

    2017-01-01

    Students’ academic achievement is largely driven by their social phenomena, which is shaped by social influence and opinion dynamics. In this paper, we employed a machine learning technique to detect social influence and sentiment in text-based students’ life stories. The life stories were first pre-processed and clustered using k-means with euclidean distance. After that, we identified domestic, peer and school staff as the main influences on students’ academic development. The various influ...

  2. Sentiment Classification of Documents in Serbian: The Effects of Morphological Normalization and Word Embeddings

    Directory of Open Access Journals (Sweden)

    V. Batanović

    2017-11-01

    Full Text Available An open issue in the sentiment classification of texts written in Serbian is the effect of different forms of morphological normalization and the usefulness of leveraging large amounts of unlabeled texts. In this paper, we assess the impact of lemmatizers and stemmers for Serbian on classifiers trained and evaluated on the Serbian Movie Review Dataset. We also consider the effectiveness of using word embeddings, generated from a large unlabeled corpus, as classification features.

  3. WikiSent : Weakly Supervised Sentiment Analysis Through Extractive Summarization With Wikipedia

    OpenAIRE

    Mukherjee, Subhabrata; Bhattacharyya, Pushpak

    2012-01-01

    This paper describes a weakly supervised system for sentiment analysis in the movie review domain. The objective is to classify a movie review into a polarity class, positive or negative, based on those sentences bearing opinion on the movie alone. The irrelevant text, not directly related to the reviewer opinion on the movie, is left out of analysis. Wikipedia incorporates the world knowledge of movie-specific features in the system which is used to obtain an extractive summary of the review...

  4. Integrating sentiment analysis and term associations with geo-temporal visualizations on customer feedback streams

    Science.gov (United States)

    Hao, Ming; Rohrdantz, Christian; Janetzko, Halldór; Keim, Daniel; Dayal, Umeshwar; Haug, Lars-Erik; Hsu, Mei-Chun

    2012-01-01

    Twitter currently receives over 190 million tweets (small text-based Web posts) and manufacturing companies receive over 10 thousand web product surveys a day, in which people share their thoughts regarding a wide range of products and their features. A large number of tweets and customer surveys include opinions about products and services. However, with Twitter being a relatively new phenomenon, these tweets are underutilized as a source for determining customer sentiments. To explore high-volume customer feedback streams, we integrate three time series-based visual analysis techniques: (1) feature-based sentiment analysis that extracts, measures, and maps customer feedback; (2) a novel idea of term associations that identify attributes, verbs, and adjectives frequently occurring together; and (3) new pixel cell-based sentiment calendars, geo-temporal map visualizations and self-organizing maps to identify co-occurring and influential opinions. We have combined these techniques into a well-fitted solution for an effective analysis of large customer feedback streams such as for movie reviews (e.g., Kung-Fu Panda) or web surveys (buyers).

  5. Sentiment Analysis on Tweets about Diabetes: An Aspect-Level Approach

    KAUST Repository

    Salas-Zárate, María del Pilar

    2017-02-19

    In recent years, some methods of sentiment analysis have been developed for the health domain; however, the diabetes domain has not been explored yet. In addition, there is a lack of approaches that analyze the positive or negative orientation of each aspect contained in a document (a review, a piece of news, and a tweet, among others). Based on this understanding, we propose an aspect-level sentiment analysis method based on ontologies in the diabetes domain. The sentiment of the aspects is calculated by considering the words around the aspect which are obtained through N-gram methods (N-gram after, N-gram before, and N-gram around). To evaluate the effectiveness of our method, we obtained a corpus from Twitter, which has been manually labelled at aspect level as positive, negative, or neutral. The experimental results show that the best result was obtained through the N-gram around method with a precision of 81.93%, a recall of 81.13%, and an -measure of 81.24%.

  6. Assessing and responding in real time to online anti-vaccine sentiment during a flu pandemic.

    Science.gov (United States)

    Seeman, Neil; Ing, Alton; Rizo, Carlos

    2010-01-01

    The perceived safety of vaccination is an important explanatory factor for vaccine uptake and, consequently, for rates of illness and death. The objectives of this study were (1) to evaluate Canadian attitudes around the safety of the H1N1 vaccine during the fall 2009 influenza pandemic and (2) to consider how public health communications can leverage the Internet to counteract, in real time, anti-vaccine sentiment. We surveyed a random sample of 175,257 Canadian web users from October 27 to November 19, 2009, about their perceptions of the safety of the HINI vaccine. In an independent analysis, we also assessed the popularity of online flu vaccine-related information using a tool developed for this purpose. A total of 27,382 unique online participants answered the survey (15.6% response rate). Of the respondents, 23.4% considered the vaccine safe, 41.4% thought it was unsafe and 35.2% reported ambivalence over its safety. Websites and blog posts with anti-vaccine sentiment remained popular during the course of the pandemic. Current public health communication and education strategies about the flu vaccine can be complemented by web analytics that identify, track and neutralize anti-vaccine sentiment on the Internet, thus increasing perceived vaccine safety. Counter-marketing strategies can be transparent and collaborative, engaging online "influencers" who spread misinformation.

  7. Suffering Daughters and Wives. Sentimental Themes in Finnish and Nordic Realism

    Directory of Open Access Journals (Sweden)

    Saija Isomaa

    2010-10-01

    Full Text Available This article examines sentimental themes and scenarios in Nordic nineteenthcentury literature, focusing on Finnish realism. The main claim of the article is that the treatment of the Woman Question in Nordic literature is thematically connected to French sentimentalism that depicted upper-class women caught in the conflict between personal freedom and familial duties. Typical scenarios were family barrier to marriage and love triangle, in which an unhappily married woman fell in love with another man. French sentimental social novels took a stance on the position of women. Similar themes and scenarios can be found in Nordic nineteenth-century novels and plays. The ‘daughter novel’ tradition from Fredrika Bremer’s The President’s Daughters (1834 to Minna Canth’s Hanna (1886 depict the sufferings of upper-class girls in patriarchal family and society. A Doll’s House (1879 by Henrik Ibsen centers on the theme of conflicting duties, depicting the moral awakening of a doll-like wife, and Papin rouva (1893, ‘The Wife of a Clergyman’ by Juhani Aho concentrates on the sufferings and moral considerations of the unhappily married Elli. The article suggests that the sentimentalist legacy informs the Nordic nineteenth-century literature and should be taken into account in the scholarship.

  8. Opinion-enhanced collaborative filtering for recommender systems through sentiment analysis

    Science.gov (United States)

    Wang, Wei; Wang, Hongwei

    2015-10-01

    The motivation of collaborative filtering (CF) comes from the idea that people often get the best recommendations from someone with similar tastes. With the growing popularity of opinion-rich resources such as online reviews, new opportunities arise as we can identify the preferences from user opinions. The main idea of our approach is to elicit user opinions from online reviews, and map such opinions into preferences that can be understood by CF-based recommender systems. We divide recommender systems into two types depending on the number of product category recommended: the multiple-category recommendation and the single-category recommendation. For the former, sentiment polarity in coarse-grained manner is identified while for the latter fine-grained sentiment analysis is conducted for each product aspect. If the evaluation frequency for an aspect by a user is greater than the average frequency by all users, it indicates that the user is more concerned with that aspect. If a user's rating for an aspect is lower than the average rating by all users, he or she is much pickier than others on that aspect. Through sentiment analysis, we then build an opinion-enhanced user preference model, where the higher the similarity between user opinions the more consistent preferences between users are. Experiment results show that the proposed CF algorithm outperforms baseline methods for product recommendation in terms of accuracy and recall.

  9. Sentiment Analysis on Tweets about Diabetes: An Aspect-Level Approach

    Directory of Open Access Journals (Sweden)

    María del Pilar Salas-Zárate

    2017-01-01

    Full Text Available In recent years, some methods of sentiment analysis have been developed for the health domain; however, the diabetes domain has not been explored yet. In addition, there is a lack of approaches that analyze the positive or negative orientation of each aspect contained in a document (a review, a piece of news, and a tweet, among others. Based on this understanding, we propose an aspect-level sentiment analysis method based on ontologies in the diabetes domain. The sentiment of the aspects is calculated by considering the words around the aspect which are obtained through N-gram methods (N-gram after, N-gram before, and N-gram around. To evaluate the effectiveness of our method, we obtained a corpus from Twitter, which has been manually labelled at aspect level as positive, negative, or neutral. The experimental results show that the best result was obtained through the N-gram around method with a precision of 81.93%, a recall of 81.13%, and an F-measure of 81.24%.

  10. Sentiment Analysis on Tweets about Diabetes: An Aspect-Level Approach

    KAUST Repository

    Salas-Zá rate, Marí a del Pilar; Medina-Moreira, José ; Lagos-Ortiz, Katty; Luna-Aveiga, Harry; Rodriguez-Garcia, Miguel Angel; Valencia-Garcí a, Rafael

    2017-01-01

    In recent years, some methods of sentiment analysis have been developed for the health domain; however, the diabetes domain has not been explored yet. In addition, there is a lack of approaches that analyze the positive or negative orientation of each aspect contained in a document (a review, a piece of news, and a tweet, among others). Based on this understanding, we propose an aspect-level sentiment analysis method based on ontologies in the diabetes domain. The sentiment of the aspects is calculated by considering the words around the aspect which are obtained through N-gram methods (N-gram after, N-gram before, and N-gram around). To evaluate the effectiveness of our method, we obtained a corpus from Twitter, which has been manually labelled at aspect level as positive, negative, or neutral. The experimental results show that the best result was obtained through the N-gram around method with a precision of 81.93%, a recall of 81.13%, and an -measure of 81.24%.

  11. Sentimentality and Nostalgia in Elderly People in Bulgaria and Greece - Cross-Validity of the Questionnaire SNEP and Cross-Cultural Comparison.

    Science.gov (United States)

    Stoyanova, Stanislava Yordanova; Giannouli, Vaitsa; Gergov, Teodor Krasimirov

    2017-03-01

    Sentimentality and nostalgia are two similar psychological constructs, which play an important role in the emotional lives of elderly people who are usually focused on the past. There are two objectives of this study - making cross-cultural comparison of sentimentality and nostalgia among Bulgarian and Greek elderly people using a questionnaire, and establishing the psychometric properties of this questionnaire among Greek elderly people. Sentimentality and nostalgia in elderly people in Bulgaria and Greece were studied by means of Sentimentality and Nostalgia in Elderly People questionnaire (SNEP), created by Gergov and Stoyanova (2013). For the Greek version, one factor structure without sub-scales is proposed, while for the Bulgarian version of SNEP the factor structure had four sub-scales, besides the total score. Together with some similarities (medium level of nostalgia and sentimentality being widespread), the elderly people in Bulgaria and Greece differed cross-culturally in their sentimentality and nostalgia related to the past in direction of more increased sentimentality and nostalgia in the Bulgarian sample. Some gender and age differences revealed that the oldest male Bulgarians were the most sentimental. The psychometric properties of this questionnaire were examined for the first time in a Greek sample of elders and a trend was found for stability of sentimentality and nostalgia in elderly people that could be studied further in longitudinal studies.

  12. Sentimentality and Nostalgia in Elderly People in Bulgaria and Greece – Cross-Validity of the Questionnaire SNEP and Cross-Cultural Comparison

    Science.gov (United States)

    Stoyanova, Stanislava Yordanova; Giannouli, Vaitsa; Gergov, Teodor Krasimirov

    2017-01-01

    Sentimentality and nostalgia are two similar psychological constructs, which play an important role in the emotional lives of elderly people who are usually focused on the past. There are two objectives of this study - making cross-cultural comparison of sentimentality and nostalgia among Bulgarian and Greek elderly people using a questionnaire, and establishing the psychometric properties of this questionnaire among Greek elderly people. Sentimentality and nostalgia in elderly people in Bulgaria and Greece were studied by means of Sentimentality and Nostalgia in Elderly People questionnaire (SNEP), created by Gergov and Stoyanova (2013). For the Greek version, one factor structure without sub-scales is proposed, while for the Bulgarian version of SNEP the factor structure had four sub-scales, besides the total score. Together with some similarities (medium level of nostalgia and sentimentality being widespread), the elderly people in Bulgaria and Greece differed cross-culturally in their sentimentality and nostalgia related to the past in direction of more increased sentimentality and nostalgia in the Bulgarian sample. Some gender and age differences revealed that the oldest male Bulgarians were the most sentimental. The psychometric properties of this questionnaire were examined for the first time in a Greek sample of elders and a trend was found for stability of sentimentality and nostalgia in elderly people that could be studied further in longitudinal studies. PMID:28344678

  13. Public Perceptions of Aquaculture: Evaluating Spatiotemporal Patterns of Sentiment around the World.

    Directory of Open Access Journals (Sweden)

    Halley E Froehlich

    Full Text Available Aquaculture is developing rapidly at a global scale and sustainable practices are an essential part of meeting the protein requirements of the ballooning human population. Locating aquaculture offshore is one strategy that may help address some issues related to nearshore development. However, offshore production is nascent and distinctions between the types of aquatic farming may not be fully understood by the public-important for collaboration, research, and development. Here we evaluate and report, to our knowledge, the first multinational quantification of the relative sentiments and opinions of the public around distinct forms of aquaculture. Using thousands of newspaper headlines (Ntotal = 1,596 from developed (no. countries = 26 and developing (42 nations, ranging over periods of 1984 to 2015, we found an expanding positive trend of general 'aquaculture' coverage, while 'marine' and 'offshore' appeared more negative. Overall, developing regions published proportionally more positive than negative headlines than developed countries. As case studies, government collected public comments (Ntotal = 1,585 from the United States of America (USA and New Zealand mirrored the media sentiments; offshore perception being particularly negative in the USA. We also found public sentiment may be influenced by local environmental disasters not directly related to aquaculture (e.g., oil spills. Both countries voiced concern over environmental impacts, but the concerns tended to be more generalized, rather than targeted issues. Two factors that could be inhibiting informed discussion and decisions about offshore aquaculture are lack of applicable knowledge and actual local development issues. Better communication and investigation of the real versus perceived impacts of aquaculture could aid in clarifying the debate about aquaculture, and help support future sustainable growth.

  14. Echoing Sentiments: Art and Melancholy in the Work of Pleshette DeArmitt

    Directory of Open Access Journals (Sweden)

    Michael Naas

    2015-12-01

    Full Text Available During those first few days, those first few weeks, truth be told, still today, something in me has wanted simply to echo the sentiments of others. That’s because I myself didn’t know exactly what to say and, truth be told, I still don’t know today. But it’s also because others, including and especially some of the people here today, beginning with my co-panelists and, perhaps especially, early on, Leigh Johnson, knew at the time just what had to be said and so expressed so well the sentiments that we all—that I at least—just wanted to echo. Just to echo, that’s what I wanted to do, because by echoing the sentiments of others I would be able to protect myself just a bit longer, I thought, though also, I self-justified, by echoing others I would be able to give back in some way to Pleshette herself, who showed us in her work that Echo does not simply repeat but initiates even when it looks or sounds as if she is not, Echo who gives back even when it sounds as if she has nothing to give, Echo who not only has her own Narcissus but her own narcissism—which Pleshette would have been the first to tell us is not only not a bad thing but a necessary one, and perhaps just what is needed for a new thinking of empathy, of mourning, and, perhaps, as I will try to say, of the ephemeral.

  15. The Relationship Between SERVQUAL, National Customer Satisfaction Indices, and Consumer Sentiment

    DEFF Research Database (Denmark)

    Kristensen, Kai; Eskildsen, Jacob Kjær

    2012-01-01

    The focus of this study is to integrate SERVQUAL with a national customer satisfaction index, in this context, the Extended Performance Satisfaction Index Rating framework (EPSI Rating), the European counterpart to the American Customer Satisfaction Index, and to explore the possible relationship...... with consumer sentiment measures. The data for this study come from the Danish Customer Satisfaction Index 2007. Here approximately 1700 customers evaluated their preferred bank. The questionnaire consists of two parts: the basic EPSI statement, as well as 15 statements covering the five dimensions from...

  16. Predicting online product sales via online reviews, sentiments, and promotion strategies

    OpenAIRE

    Chong, Alain Yee Loong; Li, Boying; Ngai, Eric W.T.; Ch'ng, Eugene; Lee, Filbert

    2016-01-01

    Purpose\\ud – The purpose of this paper is to investigate if online reviews (e.g. valence and volume), online promotional strategies (e.g. free delivery and discounts) and sentiments from user reviews can help predict product sales.\\ud \\ud Design/methodology/approach\\ud – The authors designed a big data architecture and deployed Node.js agents for scraping the Amazon.com pages using asynchronous input/output calls. The completed web crawling and scraping data sets were then preprocessed for se...

  17. A. Bandura. Auto-efficacité. Le sentiment d’efficacité personnelle

    OpenAIRE

    Rondier, Maïlys

    2009-01-01

    Albert Bandura est docteur en psychologie et enseigne à l’université de Stanford (Californie). Il est l’auteur de L’Apprentissage social (Mardaga, 1985). Depuis les années 80, Albert Bandura s’intéresse au sentiment d’efficacité personnelle. Ce concept s’inscrit dans le cadre de la théorie sociocognitive (théorie issue du béhaviorisme et du cognitivisme). Selon cette théorie, le fonctionnement et le développement psychologique doivent être compris en considérant trois facteurs en interaction ...

  18. Investor sentiment and stock returns: Evidence from provincial TV audience rating in China

    Science.gov (United States)

    Zhang, Yongjie; Zhang, Yuzhao; Shen, Dehua; Zhang, Wei

    2017-01-01

    In this paper, we advocate the provincial TV audience rating as the novel proxy for the provincial investor sentiment (PIS) and investigate its relation with stock returns. The empirical results firstly show that the PIS is positively related to stock returns. Secondly, we provide direct evidence on the existence of home bias in China by observing that the provincial correlation coefficient is significantly larger than the cross-provincial correlation coefficient. Finally, the PIS can explain a large proportion of provincial comovement. To sum up, all these findings support the role of the non-traditional information sources in understanding the ;anomalies; in stock market.

  19. Charles Darwin's Theory of Moral Sentiments: What Darwin's Ethics Really Owes to Adam Smith.

    Science.gov (United States)

    Priest, Greg

    2017-01-01

    When we read the Origin, we cannot help but hear echoes of the Wealth of Nations. Darwin's "economy of nature" features a "division of labour" that leads to complexity and productivity. We should not, however, analyze Darwin's ethics through this lens. Darwin did not draw his economic ideas from Smith, nor did he base his ethics on an economic foundation. Darwin's ethics rest on Smith's notion from the Theory of Moral Sentiments of an innate human faculty of sympathy. Darwin gave this faculty an evolutionary interpretation and built on this foundation an ethics far removed from what is commonly supposed.

  20. Applying big data technologies in the financial sector – using sentiment analysis to identify correlations in the stock market

    Directory of Open Access Journals (Sweden)

    Eszter Katalin Bognár

    2016-06-01

    Full Text Available The aim of this article is to introduce a system that is capable of collecting and analyzing different types of financial data to support traders in their decision - making. Oracle’s Big Data platform Oracle Advanced Analytics was utilized, which extends the Oracle Database with Oracle R, thus providing the opportunity to run embedded R scripts on the database server to speed up data processing. The extract, transform and load (ETL process was combined with a dictionary - based sentiment analysis module to examine cross - correlation and causality between numerical and textual financial data for a 10 week period. A notable correlation (0.42 was found between daily news sentiment scores and daily stock returns. By applying cross - correlation analysis and Granger causality testing, the results show that the news’ impact is incorporated into stock prices rapidly, having the highest correlation on the first day, while the returns’ impact on market sentiment is seen only after a few days.

  1. Forecasting ability of the investor sentiment endurance index: The case of oil service stock returns and crude oil prices

    International Nuclear Information System (INIS)

    He, Ling T.; Casey, K.M.

    2015-01-01

    Using a binomial probability distribution model this paper creates an endurance index of oil service investor sentiment. The index reflects the probability of the high or low stock price being the close price for the PHLX Oil Service Sector Index. Results of this study reveal the substantial forecasting ability of the sentiment endurance index. Monthly and quarterly rolling forecasts of returns of oil service stocks have an overall accuracy as high as 52% to 57%. In addition, the index shows decent forecasting ability on changes in crude oil prices, especially, WTI prices. The accuracy of 6-quarter rolling forecasts is 55%. The sentiment endurance index, along with the procedure of true forecasting and accuracy ratio, applied in this study provides investors and analysts of oil service sector stocks and crude oil prices as well as energy policy-makers with effective analytical tools

  2. Beyond “Peak Car”: A reflection on the evolution of public sentiment about the role of cars in cities

    Directory of Open Access Journals (Sweden)

    Martin E.H. Lee-Gosselin

    2017-03-01

    Full Text Available In this volume, Jones has made a persuasive case for considering recently observed reductions in car use (and sometimes car ownership in a number of major northern cities as part of an evolutionary process, rather than the consequence of transient conditions such as the economic downturn of 2008 and its relatively slow recovery. In an era bringing new service models for mobility and communications that have important implications for safety, security, the environment and well-being, he points to the role of public attitudes and sentiments that may underlie changing policy priorities and an associated culture change with respect to transport in cities and the reclamation of street space. This paper briefly explores the role of public sentiments and reflects on the apparent emergence of a popular subculture that favors living, if possible, without owning or using cars, in contrast to older subcultures embracing more extreme sentiments that are either Car-centered or emphatically anti-car.

  3. Public comment sentiment on educational videos: Understanding the effects of presenter gender, video format, threading, and moderation on YouTube TED talk comments.

    Directory of Open Access Journals (Sweden)

    George Veletsianos

    Full Text Available Scholars, educators, and students are increasingly encouraged to participate in online spaces. While the current literature highlights the potential positive outcomes of such participation, little research exists on the sentiment that these individuals may face online and on the factors that may lead some people to face different types of sentiment than others. To investigate these issues, we examined the strength of positive and negative sentiment expressed in response to TEDx and TED-Ed talks posted on YouTube (n = 655, the effect of several variables on comment and reply sentiment (n = 774,939, and the projected effects that sentiment-based moderation would have had on posted content. We found that most comments and replies were neutral in nature and some topics were more likely than others to elicit positive or negative sentiment. Videos of male presenters showed greater neutrality, while videos of female presenters saw significantly greater positive and negative polarity in replies. Animations neutralized both the negativity and positivity of replies at a very high rate. Gender and video format influenced the sentiment of replies and not just the initial comments that were directed toward the video. Finally, we found that using sentiment as a way to moderate offensive content would have a significant effect on non-offensive content. These findings have far-reaching implications for social media platforms and for those who encourage or prepare students and scholars to participate online.

  4. Public comment sentiment on educational videos: Understanding the effects of presenter gender, video format, threading, and moderation on YouTube TED talk comments

    Science.gov (United States)

    Kimmons, Royce; Larsen, Ross; Dousay, Tonia A.; Lowenthal, Patrick R.

    2018-01-01

    Scholars, educators, and students are increasingly encouraged to participate in online spaces. While the current literature highlights the potential positive outcomes of such participation, little research exists on the sentiment that these individuals may face online and on the factors that may lead some people to face different types of sentiment than others. To investigate these issues, we examined the strength of positive and negative sentiment expressed in response to TEDx and TED-Ed talks posted on YouTube (n = 655), the effect of several variables on comment and reply sentiment (n = 774,939), and the projected effects that sentiment-based moderation would have had on posted content. We found that most comments and replies were neutral in nature and some topics were more likely than others to elicit positive or negative sentiment. Videos of male presenters showed greater neutrality, while videos of female presenters saw significantly greater positive and negative polarity in replies. Animations neutralized both the negativity and positivity of replies at a very high rate. Gender and video format influenced the sentiment of replies and not just the initial comments that were directed toward the video. Finally, we found that using sentiment as a way to moderate offensive content would have a significant effect on non-offensive content. These findings have far-reaching implications for social media platforms and for those who encourage or prepare students and scholars to participate online. PMID:29856749

  5. Public comment sentiment on educational videos: Understanding the effects of presenter gender, video format, threading, and moderation on YouTube TED talk comments.

    Science.gov (United States)

    Veletsianos, George; Kimmons, Royce; Larsen, Ross; Dousay, Tonia A; Lowenthal, Patrick R

    2018-01-01

    Scholars, educators, and students are increasingly encouraged to participate in online spaces. While the current literature highlights the potential positive outcomes of such participation, little research exists on the sentiment that these individuals may face online and on the factors that may lead some people to face different types of sentiment than others. To investigate these issues, we examined the strength of positive and negative sentiment expressed in response to TEDx and TED-Ed talks posted on YouTube (n = 655), the effect of several variables on comment and reply sentiment (n = 774,939), and the projected effects that sentiment-based moderation would have had on posted content. We found that most comments and replies were neutral in nature and some topics were more likely than others to elicit positive or negative sentiment. Videos of male presenters showed greater neutrality, while videos of female presenters saw significantly greater positive and negative polarity in replies. Animations neutralized both the negativity and positivity of replies at a very high rate. Gender and video format influenced the sentiment of replies and not just the initial comments that were directed toward the video. Finally, we found that using sentiment as a way to moderate offensive content would have a significant effect on non-offensive content. These findings have far-reaching implications for social media platforms and for those who encourage or prepare students and scholars to participate online.

  6. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

    DEFF Research Database (Denmark)

    Felbo, Bjarke; Mislove, Alan; Søgaard, Anders

    2017-01-01

    NLP tasks are often limited by scarcity of manually annotated data. In social media sentiment analysis and related tasks, researchers have therefore used binarized emoticons and specific hashtags as forms of distant supervision. Our paper shows that by extending the distant supervision to a more...... diverse set of noisy labels, the models can learn richer representations. Through emoji prediction on a dataset of 1246 million tweets containing one of 64 common emojis we obtain state-of-theart performance on 8 benchmark datasets within emotion, sentiment and sarcasm detection using a single pretrained...... model. Our analyses confirm that the diversity of our emotional labels yield a performance improvement over previous distant supervision approaches....

  7. A Novel, Gradient Boosting Framework for Sentiment Analysis in Languages where NLP Resources Are Not Plentiful: A Case Study for Modern Greek

    Directory of Open Access Journals (Sweden)

    Vasileios Athanasiou

    2017-03-01

    Full Text Available Sentiment analysis has played a primary role in text classification. It is an undoubted fact that some years ago, textual information was spreading in manageable rates; however, nowadays, such information has overcome even the most ambiguous expectations and constantly grows within seconds. It is therefore quite complex to cope with the vast amount of textual data particularly if we also take the incremental production speed into account. Social media, e-commerce, news articles, comments and opinions are broadcasted on a daily basis. A rational solution, in order to handle the abundance of data, would be to build automated information processing systems, for analyzing and extracting meaningful patterns from text. The present paper focuses on sentiment analysis applied in Greek texts. Thus far, there is no wide availability of natural language processing tools for Modern Greek. Hence, a thorough analysis of Greek, from the lexical to the syntactical level, is difficult to perform. This paper attempts a different approach, based on the proven capabilities of gradient boosting, a well-known technique for dealing with high-dimensional data. The main rationale is that since English has dominated the area of preprocessing tools and there are also quite reliable translation services, we could exploit them to transform Greek tokens into English, thus assuring the precision of the translation, since the translation of large texts is not always reliable and meaningful. The new feature set of English tokens is augmented with the original set of Greek, consequently producing a high dimensional dataset that poses certain difficulties for any traditional classifier. Accordingly, we apply gradient boosting machines, an ensemble algorithm that can learn with different loss functions providing the ability to work efficiently with high dimensional data. Moreover, for the task at hand, we deal with a class imbalance issues since the distribution of sentiments in

  8. Impact of corpus domain for sentiment classification: An evaluation study using supervised machine learning techniques

    Science.gov (United States)

    Karsi, Redouane; Zaim, Mounia; El Alami, Jamila

    2017-07-01

    Thanks to the development of the internet, a large community now has the possibility to communicate and express its opinions and preferences through multiple media such as blogs, forums, social networks and e-commerce sites. Today, it becomes clearer that opinions published on the web are a very valuable source for decision-making, so a rapidly growing field of research called “sentiment analysis” is born to address the problem of automatically determining the polarity (Positive, negative, neutral,…) of textual opinions. People expressing themselves in a particular domain often use specific domain language expressions, thus, building a classifier, which performs well in different domains is a challenging problem. The purpose of this paper is to evaluate the impact of domain for sentiment classification when using machine learning techniques. In our study three popular machine learning techniques: Support Vector Machines (SVM), Naive Bayes and K nearest neighbors(KNN) were applied on datasets collected from different domains. Experimental results show that Support Vector Machines outperforms other classifiers in all domains, since it achieved at least 74.75% accuracy with a standard deviation of 4,08.

  9. Nostalgic Sentiment And Cultural And Creative Industries In Regional Development: A Slovak Case Study

    Directory of Open Access Journals (Sweden)

    Borseková Kamila

    2015-06-01

    Full Text Available In Slovakia, there are three unique, historical mining towns, Banská Bystrica, Banská Štiavnica and Kremnica, that have been successfully turned into creative cultural centres. The historical and cultural values of those towns have stood the test of time and become a magnet for a new and creative class of people looking to escape the brutality of high modernity (modern urban centres and find a source of inspiration based on historical nostalgic sentimentalism — the basis for a new creative and cultural industry for rural areas. The main objective of this paper is to analyse the cultural and creative industries of these three unique historical mining centres with an eye to replicating their knowledge in other communities in economic stress. The paper will first explore concepts relating to cultural and creative industries with an eye towards nostalgic sentimentalism that is an important antithesis to high modernity, and even post-modernity. The second part will analyse the cultural and creative industries of the three centres based on primary data collected from several research projects in this area. The final part will provide some recommendations for the facilitation of creative and cultural enterprises in regional redevelopment. It also contains policy recommendations for the self-government of the region for a more effective and rational exploitation of the existing potential hiding in plain view.

  10. Latent Dirichlet Allocation (LDA) for Sentiment Analysis Toward Tourism Review in Indonesia

    Science.gov (United States)

    Putri, IR; Kusumaningrum, R.

    2017-01-01

    The tourism industry is one of foreign exchange sector, which has considerable potential development in Indonesia. Compared to other Southeast Asia countries such as Malaysia with 18 million tourists and Singapore 20 million tourists, Indonesia which is the largest Southeast Asia’s country have failed to attract higher tourist numbers compared to its regional peers. Indonesia only managed to attract 8,8 million foreign tourists in 2013, with the value of foreign tourists each year which is likely to decrease. Apart from the infrastructure problems, marketing and managing also form of obstacles for tourism growth. An evaluation and self-analysis should be done by the stakeholder to respond toward this problem and capture opportunities that related to tourism satisfaction from tourists review. Recently, one of technology to answer this problem only relying on the subjective of statistical data which collected by voting or grading from user randomly. So the result is still not to be accountable. Thus, we proposed sentiment analysis with probabilistic topic model using Latent Dirichlet Allocation (LDA) method to be applied for reading general tendency from tourist review into certain topics that can be classified toward positive and negative sentiment.

  11. Policies designed for self-interested citizens may undermine "the moral sentiments": evidence from economic experiments.

    Science.gov (United States)

    Bowles, Samuel

    2008-06-20

    High-performance organizations and economies work on the basis not only of material interests but also of Adam Smith's "moral sentiments." Well-designed laws and public policies can harness self-interest for the common good. However, incentives that appeal to self-interest may fail when they undermine the moral values that lead people to act altruistically or in other public-spirited ways. Behavioral experiments reviewed here suggest that economic incentives may be counterproductive when they signal that selfishness is an appropriate response; constitute a learning environment through which over time people come to adopt more self-interested motivations; compromise the individual's sense of self-determination and thereby degrade intrinsic motivations; or convey a message of distrust, disrespect, and unfair intent. Many of these unintended effects of incentives occur because people act not only to acquire economic goods and services but also to constitute themselves as dignified, autonomous, and moral individuals. Good organizational and institutional design can channel the material interests for the achievement of social goals while also enhancing the contribution of the moral sentiments to the same ends.

  12. Investigating Online Destination Images Using a Topic-Based Sentiment Analysis Approach

    Directory of Open Access Journals (Sweden)

    Gang Ren

    2017-09-01

    Full Text Available With the development of Web 2.0, many studies have tried to analyze tourist behavior utilizing user-generated contents. The primary purpose of this study is to propose a topic-based sentiment analysis approach, including a polarity classification and an emotion classification. We use the Latent Dirichlet Allocation model to extract topics from online travel review data and analyze the sentiments and emotions for each topic with our proposed approach. The top frequent words are extracted for each topic from online reviews on Ctrip.com. By comparing the relative importance of each topic, we conclude that many tourists prefer to provide “suggestion” reviews. In particular, we propose a new approach to classify the emotions of online reviews at the topic level utilizing an emotion lexicon, focusing on specific emotions to analyze customer complaints. The results reveal that attraction “management” obtains most complaints. These findings may provide useful insights for the development of attractions and the measurement of online destination image. Our proposed method can be used to analyze reviews from many online platforms and domains.

  13. The Application of Machine Learning Algorithms for Text Mining based on Sentiment Analysis Approach

    Directory of Open Access Journals (Sweden)

    Reza Samizade

    2018-06-01

    Full Text Available Classification of the cyber texts and comments into two categories of positive and negative sentiment among social media users is of high importance in the research are related to text mining. In this research, we applied supervised classification methods to classify Persian texts based on sentiment in cyber space. The result of this research is in a form of a system that can decide whether a comment which is published in cyber space such as social networks is considered positive or negative. The comments that are published in Persian movie and movie review websites from 1392 to 1395 are considered as the data set for this research. A part of these data are considered as training and others are considered as testing data. Prior to implementing the algorithms, pre-processing activities such as tokenizing, removing stop words, and n-germs process were applied on the texts. Naïve Bayes, Neural Networks and support vector machine were used for text classification in this study. Out of sample tests showed that there is no evidence indicating that the accuracy of SVM approach is statistically higher than Naïve Bayes or that the accuracy of Naïve Bayes is not statistically higher than NN approach. However, the researchers can conclude that the accuracy of the classification using SVM approach is statistically higher than the accuracy of NN approach in 5% confidence level.

  14. Short text sentiment classification based on feature extension and ensemble classifier

    Science.gov (United States)

    Liu, Yang; Zhu, Xie

    2018-05-01

    With the rapid development of Internet social media, excavating the emotional tendencies of the short text information from the Internet, the acquisition of useful information has attracted the attention of researchers. At present, the commonly used can be attributed to the rule-based classification and statistical machine learning classification methods. Although micro-blog sentiment analysis has made good progress, there still exist some shortcomings such as not highly accurate enough and strong dependence from sentiment classification effect. Aiming at the characteristics of Chinese short texts, such as less information, sparse features, and diverse expressions, this paper considers expanding the original text by mining related semantic information from the reviews, forwarding and other related information. First, this paper uses Word2vec to compute word similarity to extend the feature words. And then uses an ensemble classifier composed of SVM, KNN and HMM to analyze the emotion of the short text of micro-blog. The experimental results show that the proposed method can make good use of the comment forwarding information to extend the original features. Compared with the traditional method, the accuracy, recall and F1 value obtained by this method have been improved.

  15. The effects of pre-processing strategies in sentiment analysis of online movie reviews

    Science.gov (United States)

    Zin, Harnani Mat; Mustapha, Norwati; Murad, Masrah Azrifah Azmi; Sharef, Nurfadhlina Mohd

    2017-10-01

    With the ever increasing of internet applications and social networking sites, people nowadays can easily express their feelings towards any products and services. These online reviews act as an important source for further analysis and improved decision making. These reviews are mostly unstructured by nature and thus, need processing like sentiment analysis and classification to provide a meaningful information for future uses. In text analysis tasks, the appropriate selection of words/features will have a huge impact on the effectiveness of the classifier. Thus, this paper explores the effect of the pre-processing strategies in the sentiment analysis of online movie reviews. In this paper, supervised machine learning method was used to classify the reviews. The support vector machine (SVM) with linear and non-linear kernel has been considered as classifier for the classification of the reviews. The performance of the classifier is critically examined based on the results of precision, recall, f-measure, and accuracy. Two different features representations were used which are term frequency and term frequency-inverse document frequency. Results show that the pre-processing strategies give a significant impact on the classification process.

  16. Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets.

    Science.gov (United States)

    Vickey, Theodore; Breslin, John G

    2017-10-31

    Publicly available fitness tweets may provide useful and in-depth insights into the real-time sentiment of a person's physical activity and provide motivation to others through online influence. The goal of this experimental approach using the fitness Twitter dataset is two-fold: (1) to determine if there is a correlation between the type of activity tweet (either workout or workout+, which contains the same information as a workout tweet but has additional user-generated information), gender, and one's online influence as measured by Klout Score and (2) to examine the sentiment of the activity-coded fitness tweets by looking at real-time shared thoughts via Twitter regarding their experiences with physical activity and the associated mobile fitness app. The fitness tweet dataset includes demographic and activity data points, including minutes of activity, Klout Score, classification of each fitness tweet, the first name of each fitness tweet user, and the tweet itself. Gender for each fitness tweet user was determined by a first name comparison with the US Social Security Administration database of first names and gender. Over 184 days, 2,856,534 tweets were collected in 23 different languages. However, for the purposes of this study, only the English-language tweets were analyzed from the activity tweets, resulting in a total of 583,252 tweets. After assigning gender to Twitter usernames based on the Social Security Administration database of first names, analysis of minutes of activity by both gender and Klout influence was determined. The mean Klout Score for those who shared their workout data from within four mobile apps was 20.50 (13.78 SD), less than the general Klout Score mean of 40, as was the Klout Score at the 95th percentile (40 vs 63). As Klout Score increased, there was a decrease in the number of overall workout+ tweets. With regards to sentiment, fitness-related tweets identified as workout+ reflected a positive sentiment toward physical activity

  17. Emotional Indoctrination through Sentimental Narrative in Spanish Primary Education Textbooks during the Franco Dictatorship (1939-1959)

    Science.gov (United States)

    Mahamud, Kira

    2016-01-01

    This paper aims to highlight the prominence and relevance attached by the Franco dictatorial regime to emotions and sentiments in primary education textbooks. The authors of school textbooks employed a singular writing style, which enabled them to permeate the regime's ideology within the primary education community and classroom. Overcoming the…

  18. An entropy based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series

    NARCIS (Netherlands)

    D.E. Allen (David); M.J. McAleer (Michael); A.K. Singh (Abhay)

    2016-01-01

    textabstractThis paper features an analysis of the relationship between the DOW JONES Industrial Average Index (DJIA) and a sentiment news series using daily data obtained from the Thomson Reuters News Analytics (TRNA)1 provided by SIRCA (The Securities Industry Research Centre of the Asia Pacic).

  19. The Validity and Reliability Study of Turkish Version of the Sentiments, Attitudes, and Concerns about Inclusive Education Scale

    Science.gov (United States)

    Cansiz, Nurcan; Cansiz, Mustafa

    2018-01-01

    The purpose of this study is to translate and adapt the Sentiments Attitudes and Concerns about Inclusive Education Scale (SACIE) for use in the Turkish context. For this purpose, translated version of SACIE was administered to 304 and 368 preservice teachers (PTs) to perform exploratory and confirmatory factor analysis respectively. The result of…

  20. Le temps du paysage. Alexandre de Humboldt et la géohistoire du sentiment de la nature

    OpenAIRE

    Briffaud , Serge

    2006-01-01

    L'article propose une analyse de la théorie de Humboldt, exposé notamment dans Cosmos, sur l'histoire du sentiment de la nature et les étapes de l'émergence d'une vision "paysagère" de la nature en Occident.

  1. Attitudes of Crohn's Disease Patients: Infodemiology Case Study and Sentiment Analysis of Facebook and Twitter Posts.

    Science.gov (United States)

    Roccetti, Marco; Marfia, Gustavo; Salomoni, Paola; Prandi, Catia; Zagari, Rocco Maurizio; Gningaye Kengni, Faustine Linda; Bazzoli, Franco; Montagnani, Marco

    2017-08-09

    Data concerning patients originates from a variety of sources on social media. The aim of this study was to show how methodologies borrowed from different areas including computer science, econometrics, statistics, data mining, and sociology may be used to analyze Facebook data to investigate the patients' perspectives on a given medical prescription. To shed light on patients' behavior and concerns, we focused on Crohn's disease, a chronic inflammatory bowel disease, and the specific therapy with the biological drug Infliximab. To gain information from the basin of big data, we analyzed Facebook posts in the time frame from October 2011 to August 2015. We selected posts from patients affected by Crohn's disease who were experiencing or had previously been treated with the monoclonal antibody drug Infliximab. The selected posts underwent further characterization and sentiment analysis. Finally, an ethnographic review was carried out by experts from different scientific research fields (eg, computer science vs gastroenterology) and by a software system running a sentiment analysis tool. The patient feeling toward the Infliximab treatment was classified as positive, neutral, or negative, and the results from computer science, gastroenterologist, and software tool were compared using the square weighted Cohen's kappa coefficient method. The first automatic selection process returned 56,000 Facebook posts, 261 of which exhibited a patient opinion concerning Infliximab. The ethnographic analysis of these 261 selected posts gave similar results, with an interrater agreement between the computer science and gastroenterology experts amounting to 87.3% (228/261), a substantial agreement according to the square weighted Cohen's kappa coefficient method (w2K=0.6470). A positive, neutral, and negative feeling was attributed to 36%, 27%, and 37% of posts by the computer science expert and 38%, 30%, and 32% by the gastroenterologist, respectively. Only a slight agreement was

  2. #europehappinessmap: A Framework for Multi-Lingual Sentiment Analysis via Social Media Big Data (A Twitter Case Study

    Directory of Open Access Journals (Sweden)

    Mustafa Coşkun

    2018-04-01

    Full Text Available The growth and popularity of social media platforms have generated a new social interaction environment thus a new collaboration and communication network among individuals. These platforms own tremendous amount of data about users’ behaviors and sentiments since people create, share or exchange their information, ideas, pictures or video using them. One of these popular platforms is Twitter, which via its voluntary information sharing structure, provides researchers data potential of benefit for their studies. Based on Twitter data, in this study a multilingual sentiment detection framework is proposed to compute European Gross National Happiness (GNH. This framework consists of a novel data collection, filtering and sampling method, and a newly constructed multilingual sentiment detection algorithm for social media big data, and tested with nine European countries (United Kingdom, Germany, Sweden, Turkey, Portugal, The Netherlands, Italy, France and Spain and their national languages over a six year period. The reliability of the data is checked with peak/troughs comparison for special days from Wikipedia news lists. The validity is checked with a group of correlation analyses with OECD Life Satisfaction survey reports’, Euro-Dollar and other currency exchanges, and national stock market time series data. After validity and reliability confirmations, the European GNH map is drawn for six years. The main problem addressed is to propose a novel multilingual social media sentiment analysis framework for calculating GNH for countries and change the way of OECD type organizations’ survey and interview methodology. Also, it is believed that this framework can serve more detailed results (e.g., daily or hourly sentiments of society in different languages.

  3. Virtual World Currency Value Fluctuation Prediction System Based on User Sentiment Analysis.

    Directory of Open Access Journals (Sweden)

    Young Bin Kim

    Full Text Available In this paper, we present a method for predicting the value of virtual currencies used in virtual gaming environments that support multiple users, such as massively multiplayer online role-playing games (MMORPGs. Predicting virtual currency values in a virtual gaming environment has rarely been explored; it is difficult to apply real-world methods for predicting fluctuating currency values or shares to the virtual gaming world on account of differences in domains between the two worlds. To address this issue, we herein predict virtual currency value fluctuations by collecting user opinion data from a virtual community and analyzing user sentiments or emotions from the opinion data. The proposed method is straightforward and applicable to predicting virtual currencies as well as to gaming environments, including MMORPGs. We test the proposed method using large-scale MMORPGs and demonstrate that virtual currencies can be effectively and efficiently predicted with it.

  4. Introduction : sentiments d’efficacité personnelle et orientation scolaire et professionnelle1

    OpenAIRE

    Blanchard, Serge

    2011-01-01

    Ce numéro spécial poursuit quatre objectifs : Présenter la théorie des sentiments d’efficacité personnelle (SEP) – qui s’insère dans le cadre plus général de la théorie sociale cognitive (TSC) d’Albert Bandura – et les principaux résultats des recherches qu’elle a suscitées depuis vingt-cinq ans aux États-Unis dans le domaine de l’orientation scolaire et professionnelle.L’article de Stephen Brewer présente d’abord une biographie d’Albert Bandura puis une brève introduction à ses travaux. Il d...

  5. An implementation of support vector machine on sentiment classification of movie reviews

    Science.gov (United States)

    Yulietha, I. M.; Faraby, S. A.; Adiwijaya; Widyaningtyas, W. C.

    2018-03-01

    With technological advances, all information about movie is available on the internet. If the information is processed properly, it will get the quality of the information. This research proposes to the classify sentiments on movie review documents. This research uses Support Vector Machine (SVM) method because it can classify high dimensional data in accordance with the data used in this research in the form of text. Support Vector Machine is a popular machine learning technique for text classification because it can classify by learning from a collection of documents that have been classified previously and can provide good result. Based on number of datasets, the 90-10 composition has the best result that is 85.6%. Based on SVM kernel, kernel linear with constant 1 has the best result that is 84.9%

  6. A SVM-based method for sentiment analysis in Persian language

    Science.gov (United States)

    Hajmohammadi, Mohammad Sadegh; Ibrahim, Roliana

    2013-03-01

    Persian language is the official language of Iran, Tajikistan and Afghanistan. Local online users often represent their opinions and experiences on the web with written Persian. Although the information in those reviews is valuable to potential consumers and sellers, the huge amount of web reviews make it difficult to give an unbiased evaluation to a product. In this paper, standard machine learning techniques SVM and naive Bayes are incorporated into the domain of online Persian Movie reviews to automatically classify user reviews as positive or negative and performance of these two classifiers is compared with each other in this language. The effects of feature presentations on classification performance are discussed. We find that accuracy is influenced by interaction between the classification models and the feature options. The SVM classifier achieves as well as or better accuracy than naive Bayes in Persian movie. Unigrams are proved better features than bigrams and trigrams in capturing Persian sentiment orientation.

  7. Sentiment analysis in twitter data using data analytic techniques for predictive modelling

    Science.gov (United States)

    Razia Sulthana, A.; Jaithunbi, A. K.; Sai Ramesh, L.

    2018-04-01

    Sentiment analysis refers to the task of natural language processing to determine whether a piece of text contains subjective information and the kind of subjective information it expresses. The subjective information represents the attitude behind the text: positive, negative or neutral. Understanding the opinions behind user-generated content automatically is of great concern. We have made data analysis with huge amount of tweets taken as big data and thereby classifying the polarity of words, sentences or entire documents. We use linear regression for modelling the relationship between a scalar dependent variable Y and one or more explanatory variables (or independent variables) denoted X. We conduct a series of experiments to test the performance of the system.

  8. Democratization and Political Change as Threats to Collective Sentiments: Testing Durkheim in Russia.

    Science.gov (United States)

    Pridemore, William Alex; Kim, Sang-Weon

    2006-05-01

    Durkheim argued that acute political crises result in increased homicide rates because they pose a threat to sentiments about the collective. Though crucial to Durkheim's work on homicide, this idea remains untested. The authors took advantage of the natural experiment of the collapse of the Soviet Union to examine this hypothesis. Using data from Russian regions (N = 78) and controlling for measures of anomie and other covariates, the authors estimated the association between political change and change in homicide rates between 1991 and 2000. Results indicated that regions exhibiting less support for the Communist Party in 2000 (and thus greater change in political ideals because the Party had previously exercised complete control) were regions with greater increases in homicide rates. Thus, while democratization may be a positive development relative to the Communist juggernaut of the past, it appears that the swift political change in Russia is partially responsible for the higher rates of violence there following the collapse of the Soviet Union.

  9. Virtual World Currency Value Fluctuation Prediction System Based on User Sentiment Analysis

    Science.gov (United States)

    Kim, Young Bin; Lee, Sang Hyeok; Kang, Shin Jin; Choi, Myung Jin; Lee, Jung; Kim, Chang Hun

    2015-01-01

    In this paper, we present a method for predicting the value of virtual currencies used in virtual gaming environments that support multiple users, such as massively multiplayer online role-playing games (MMORPGs). Predicting virtual currency values in a virtual gaming environment has rarely been explored; it is difficult to apply real-world methods for predicting fluctuating currency values or shares to the virtual gaming world on account of differences in domains between the two worlds. To address this issue, we herein predict virtual currency value fluctuations by collecting user opinion data from a virtual community and analyzing user sentiments or emotions from the opinion data. The proposed method is straightforward and applicable to predicting virtual currencies as well as to gaming environments, including MMORPGs. We test the proposed method using large-scale MMORPGs and demonstrate that virtual currencies can be effectively and efficiently predicted with it. PMID:26241496

  10. The painful tweet: text, sentiment, and community structure analyses of tweets pertaining to pain.

    Science.gov (United States)

    Tighe, Patrick J; Goldsmith, Ryan C; Gravenstein, Michael; Bernard, H Russell; Fillingim, Roger B

    2015-04-02

    Despite the widespread popularity of social media, little is known about the extent or context of pain-related posts by users of those media. The aim was to examine the type, context, and dissemination of pain-related tweets. We used content analysis of pain-related tweets from 50 cities to unobtrusively explore the meanings and patterns of communications about pain. Content was examined by location and time of day, as well as within the context of online social networks. The most common terms published in conjunction with the term "pain" included feel (n=1504), don't (n=702), and love (n=649). The proportion of tweets with positive sentiment ranged from 13% in Manila to 56% in Los Angeles, CA, with a median of 29% across cities. Temporally, the proportion of tweets with positive sentiment ranged from 24% at 1600 to 38% at 2400, with a median of 32%. The Twitter-based social networks pertaining to pain exhibited greater sparsity and lower connectedness than did those social networks pertaining to common terms such as apple, Manchester United, and Obama. The number of word clusters in proportion to node count was greater for emotion terms such as tired (0.45), happy (0.43), and sad (0.4) when compared with objective terms such as apple (0.26), Manchester United (0.14), and Obama (0.25). Taken together, our results suggest that pain-related tweets carry special characteristics reflecting unique content and their communication among tweeters. Further work will explore how geopolitical events and seasonal changes affect tweeters' perceptions of pain and how such perceptions may affect therapies for pain.

  11. Pro-Anorexia and Anti-Pro-Anorexia Videos on YouTube: Sentiment Analysis of User Responses.

    Science.gov (United States)

    Oksanen, Atte; Garcia, David; Sirola, Anu; Näsi, Matti; Kaakinen, Markus; Keipi, Teo; Räsänen, Pekka

    2015-11-12

    Pro-anorexia communities exist online and encourage harmful weight loss and weight control practices, often through emotional content that enforces social ties within these communities. User-generated responses to videos that directly oppose pro-anorexia communities have not yet been researched in depth. The aim was to study emotional reactions to pro-anorexia and anti-pro-anorexia online content on YouTube using sentiment analysis. Using the 50 most popular YouTube pro-anorexia and anti-pro-anorexia user channels as a starting point, we gathered data on users, their videos, and their commentators. A total of 395 anorexia videos and 12,161 comments were analyzed using positive and negative sentiments and ratings submitted by the viewers of the videos. The emotional information was automatically extracted with an automatic sentiment detection tool whose reliability was tested with human coders. Ordinary least squares regression models were used to estimate the strength of sentiments. The models controlled for the number of video views and comments, number of months the video had been on YouTube, duration of the video, uploader's activity as a video commentator, and uploader's physical location by country. The 395 videos had more than 6 million views and comments by almost 8000 users. Anti-pro-anorexia video comments expressed more positive sentiments on a scale of 1 to 5 (adjusted prediction [AP] 2.15, 95% CI 2.11-2.19) than did those of pro-anorexia videos (AP 2.02, 95% CI 1.98-2.06). Anti-pro-anorexia videos also received more likes (AP 181.02, 95% CI 155.19-206.85) than pro-anorexia videos (AP 31.22, 95% CI 31.22-37.81). Negative sentiments and video dislikes were equally distributed in responses to both pro-anorexia and anti-pro-anorexia videos. Despite pro-anorexia content being widespread on YouTube, videos promoting help for anorexia and opposing the pro-anorexia community were more popular, gaining more positive feedback and comments than pro-anorexia videos

  12. Sentiment Analysis per analizzare gli effetti del cinema sulla percezione dei luoghi. Il caso pugliese / Sentiment Analysis to study the effects of cinema on the perception of places. The case of Puglia Region

    Directory of Open Access Journals (Sweden)

    Valentina Albanese

    2016-05-01

    Full Text Available Il film induced iourism è un fenomeno ormai indiscutibile e che va affrontato con sistematicità e metodologie sempre più raffinate per consentire ai policy makers di sfruttarne più consapevolmente le potenzialità. In Puglia la realizzazione di pellicole di successo ha provocato effetti turistici e territoriali notevoli. Per poter comprendere realmente se e quanto l’incoming turistico pugliese sia influenzato, nella sua dimensione quantitativa e qualitativa, dall’immagine veicolata dal cinema, si ipotizza qui l’utilizzo di una nuova metodologia di analisi: la Sentiment Analysis. Si intende passare al setaccio i Big Data tematici, tramite una scansione intelligente dei social network e poi riportare le valutazioni (sentiment sul territorio pugliese espresse nei diversi luoghi virtuali di conversazione da parte della domanda turistica. Questa tipologia di studio del dato è del tutto innovativa per il settore cineturistico e può portare ad esiti del tutto inattesi sovvertendo in alcuni casi le interpretazioni prettamente soggettive dei dati quantitativi più tradizionali. Film induced tourism is an undeniable phenomenon and it is necessary to study it sistematically and with sophisticated methods to allow policy makers to exploit, more consciously, its potentiality. In Apulia the successful movies maybe have caused tourism and territorial remarkable effects. In order to understand if and how incoming in Apulia is influenced, in quantitative and qualitative terms, from the image conveyed by cinema, we’ll use a new method of analysis: the Sentiment Analysis. It means making an intelligent scanning of social networks and then bring feedback (sentiment about Apulia expressed in different virtual places of conversation by the tourist demand. This kind of opinion mining study is totally innovative for film induced tourism and can lead to outcomes completely unexpected subverting, in some cases, subjective interpretations of the

  13. SentiHealth-Cancer: A sentiment analysis tool to help detecting mood of patients in online social networks.

    Science.gov (United States)

    Rodrigues, Ramon Gouveia; das Dores, Rafael Marques; Camilo-Junior, Celso G; Rosa, Thierson Couto

    2016-01-01

    Cancer is a critical disease that affects millions of people and families around the world. In 2012 about 14.1 million new cases of cancer occurred globally. Because of many reasons like the severity of some cases, the side effects of some treatments and death of other patients, cancer patients tend to be affected by serious emotional disorders, like depression, for instance. Thus, monitoring the mood of the patients is an important part of their treatment. Many cancer patients are users of online social networks and many of them take part in cancer virtual communities where they exchange messages commenting about their treatment or giving support to other patients in the community. Most of these communities are of public access and thus are useful sources of information about the mood of patients. Based on that, Sentiment Analysis methods can be useful to automatically detect positive or negative mood of cancer patients by analyzing their messages in these online communities. The objective of this work is to present a Sentiment Analysis tool, named SentiHealth-Cancer (SHC-pt), that improves the detection of emotional state of patients in Brazilian online cancer communities, by inspecting their posts written in Portuguese language. The SHC-pt is a sentiment analysis tool which is tailored specifically to detect positive, negative or neutral messages of patients in online communities of cancer patients. We conducted a comparative study of the proposed method with a set of general-purpose sentiment analysis tools adapted to this context. Different collections of posts were obtained from two cancer communities in Facebook. Additionally, the posts were analyzed by sentiment analysis tools that support the Portuguese language (Semantria and SentiStrength) and by the tool SHC-pt, developed based on the method proposed in this paper called SentiHealth. Moreover, as a second alternative to analyze the texts in Portuguese, the collected texts were automatically translated

  14. Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning.

    Science.gov (United States)

    Cole-Lewis, Heather; Varghese, Arun; Sanders, Amy; Schwarz, Mary; Pugatch, Jillian; Augustson, Erik

    2015-08-25

    Electronic cigarettes (e-cigarettes) continue to be a growing topic among social media users, especially on Twitter. The ability to analyze conversations about e-cigarettes in real-time can provide important insight into trends in the public's knowledge, attitudes, and beliefs surrounding e-cigarettes, and subsequently guide public health interventions. Our aim was to establish a supervised machine learning algorithm to build predictive classification models that assess Twitter data for a range of factors related to e-cigarettes. Manual content analysis was conducted for 17,098 tweets. These tweets were coded for five categories: e-cigarette relevance, sentiment, user description, genre, and theme. Machine learning classification models were then built for each of these five categories, and word groupings (n-grams) were used to define the feature space for each classifier. Predictive performance scores for classification models indicated that the models correctly labeled the tweets with the appropriate variables between 68.40% and 99.34% of the time, and the percentage of maximum possible improvement over a random baseline that was achieved by the classification models ranged from 41.59% to 80.62%. Classifiers with the highest performance scores that also achieved the highest percentage of the maximum possible improvement over a random baseline were Policy/Government (performance: 0.94; % improvement: 80.62%), Relevance (performance: 0.94; % improvement: 75.26%), Ad or Promotion (performance: 0.89; % improvement: 72.69%), and Marketing (performance: 0.91; % improvement: 72.56%). The most appropriate word-grouping unit (n-gram) was 1 for the majority of classifiers. Performance continued to marginally increase with the size of the training dataset of manually annotated data, but eventually leveled off. Even at low dataset sizes of 4000 observations, performance characteristics were fairly sound. Social media outlets like Twitter can uncover real-time snapshots of

  15. Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning

    Science.gov (United States)

    Cole-Lewis, Heather; Varghese, Arun; Sanders, Amy; Schwarz, Mary; Pugatch, Jillian

    2015-01-01

    Background Electronic cigarettes (e-cigarettes) continue to be a growing topic among social media users, especially on Twitter. The ability to analyze conversations about e-cigarettes in real-time can provide important insight into trends in the public’s knowledge, attitudes, and beliefs surrounding e-cigarettes, and subsequently guide public health interventions. Objective Our aim was to establish a supervised machine learning algorithm to build predictive classification models that assess Twitter data for a range of factors related to e-cigarettes. Methods Manual content analysis was conducted for 17,098 tweets. These tweets were coded for five categories: e-cigarette relevance, sentiment, user description, genre, and theme. Machine learning classification models were then built for each of these five categories, and word groupings (n-grams) were used to define the feature space for each classifier. Results Predictive performance scores for classification models indicated that the models correctly labeled the tweets with the appropriate variables between 68.40% and 99.34% of the time, and the percentage of maximum possible improvement over a random baseline that was achieved by the classification models ranged from 41.59% to 80.62%. Classifiers with the highest performance scores that also achieved the highest percentage of the maximum possible improvement over a random baseline were Policy/Government (performance: 0.94; % improvement: 80.62%), Relevance (performance: 0.94; % improvement: 75.26%), Ad or Promotion (performance: 0.89; % improvement: 72.69%), and Marketing (performance: 0.91; % improvement: 72.56%). The most appropriate word-grouping unit (n-gram) was 1 for the majority of classifiers. Performance continued to marginally increase with the size of the training dataset of manually annotated data, but eventually leveled off. Even at low dataset sizes of 4000 observations, performance characteristics were fairly sound. Conclusions Social media outlets

  16. Extending trust to immigrants: Generalized trust, cross-group friendship and anti-immigrant sentiments in 21 European societies.

    Directory of Open Access Journals (Sweden)

    Meta van der Linden

    Full Text Available The aim of this study is twofold. First, we expand on the literature by testing whether generalized trust is negatively related to anti-immigrant sentiments in Europe. Second, we examine to what extent the relation between generalized trust and anti-immigrant sentiments is dependent upon cross-group friendships. We apply multilevel linear regression modeling to representative survey data enriched with levels of ethnic diversity covering 21 European countries. Results show that both generalized trust and cross-group friendship are negatively related to anti-immigrant sentiments. However, there is a negligible positive relation between generalized trust and cross-group friendship (r = .10, and we can clearly observe that they operate independently from one another. Hence, trusting actors are not more likely to form more cross-group friendships, and cross-group friendship do not lead to the development of more generalized trust. Instead, the findings show that generalized trust leads immigrants too to be included in the radius of trusted others and, as a consequence, the benign effects of generalized trust apply to them as well. We conclude that the strength of generalized trust is a form of generalization, beyond the confines of individual variations in intergroup experiences.

  17. How do we talk about doctors and drugs? Sentiment analysis in forums expressing opinions for medical domain.

    Science.gov (United States)

    Jiménez-Zafra, Salud María; Martín-Valdivia, M Teresa; Molina-González, M Dolores; Ureña-López, L Alfonso

    2018-04-20

    The main goal of this study is to examine how people express their opinion in medical forums. We analyze the language used in order to determine the best way to tackle sentiment analysis in this domain. We have applied supervised learning and lexicon-based sentiment analysis approaches over two different corpora extracted from social web. Specifically, we have focused on two aspects: drugs and doctors. We have selected two forums and we have collected corpora for each one: (i) DOS, a Spanish corpus of drug reviews and (ii) COPOS, a Spanish corpus of patients' opinions about physicians. The classification results show that drug reviews are more difficult to classify than those about physicians. In order to understand the difference in the results, we have studied the linguistic features of both corpora. Although opinions about physicians and drugs are written in most cases by non-professional users, reviews about physicians are characterized by the use of an informal language while reviews about drugs are characterized by a combination of informal language with specific terminology (e.g. adverse effects, drug names) with greater lexical diversity, making the task of sentiment analysis difficult. Copyright © 2018 Elsevier B.V. All rights reserved.

  18. Sentiment classification of Roman-Urdu opinions using Naïve Bayesian, Decision Tree and KNN classification techniques

    Directory of Open Access Journals (Sweden)

    Muhammad Bilal

    2016-07-01

    Full Text Available Sentiment mining is a field of text mining to determine the attitude of people about a particular product, topic, politician in newsgroup posts, review sites, comments on facebook posts twitter, etc. There are many issues involved in opinion mining. One important issue is that opinions could be in different languages (English, Urdu, Arabic, etc.. To tackle each language according to its orientation is a challenging task. Most of the research work in sentiment mining has been done in English language. Currently, limited research is being carried out on sentiment classification of other languages like Arabic, Italian, Urdu and Hindi. In this paper, three classification models are used for text classification using Waikato Environment for Knowledge Analysis (WEKA. Opinions written in Roman-Urdu and English are extracted from a blog. These extracted opinions are documented in text files to prepare a training dataset containing 150 positive and 150 negative opinions, as labeled examples. Testing data set is supplied to three different models and the results in each case are analyzed. The results show that Naïve Bayesian outperformed Decision Tree and KNN in terms of more accuracy, precision, recall and F-measure.

  19. Towards Aiding Decision-Making in Social Networks by Using Sentiment and Stress Combined Analysis

    Directory of Open Access Journals (Sweden)

    Guillem Aguado

    2018-05-01

    Full Text Available The present work is a study of the detection of negative emotional states that people have using social network sites (SNSs, and the effect that this negative state has on the repercussions of posted messages. We aim to discover in which grade a user having an affective state considered negative by an Analyzer can affect other users and generate bad repercussions. Those Analyzers that we propose are a Sentiment Analyzer, a Stress Analyzer and a novel combined Analyzer. We also want to discover what Analyzer is more suitable to predict a bad future situation, and in what context. We designed a Multi-Agent System (MAS that uses different Analyzers to protect or advise users. This MAS uses the trained and tested Analyzers to predict future bad situations in social media, which could be triggered by the actions of a user that has an emotional state considered negative. We conducted an experimentation with different datasets of text messages from Twitter.com to examine the ability of the system to predict bad repercussions, by comparing the polarity, stress level or combined value classification of the messages that are replies to the ones of the messages that originated them.

  20. The Practice of Sustainable Facilities Management: Design Sentiments and the Knowledge Chasm

    Directory of Open Access Journals (Sweden)

    Abbas Elmualim

    2009-12-01

    Full Text Available The construction industry with its nature of project delivery is very fragmented in terms of the various processes that encompass design, construction, facilities and assets management. Facilities managers are in the forefront of delivering sustainable assets management and hence further the venture for mitigation and adaptation to climate change. A questionnaire survey was conducted to establish perceptions, level of commitment and knowledge chasm in practising sustainable facilities management (FM. This has significant implications for sustainable design management, especially in a fragmented industry. The majority of questionnaire respondents indicated the importance of sustainability for their organization. Many of them stated that they reported on sustainability as part of their organization annual reporting with energy efficiency, recycling and waste reduction as the main concern for them. The overwhelming barrier for implementing sound, sustainable FM is the lack of consensual understanding and focus of individuals and organizations about sustainability. There is a knowledge chasm regarding practical information on delivering sustainable FM. Sustainability information asymmetry in design, construction and FM processes render any sustainable design as a sentiment and mere design aspiration. Skills and training provision, traditionally offered separately to designers and facilities managers, needs to be re-evaluated. Sustainability education and training should be developed to provide effective structures and processes to apply sustainability throughout the construction and FM industries coherently and as common practice. Published in the Journal AEDM - Volume 5, Numbers 1-2, 2009 , pp. 91-102(12

  1. Predicting the probability of recession in Croatia:Is economic sentiment the missing link?

    Directory of Open Access Journals (Sweden)

    Nataša Erjavec

    2016-12-01

    Full Text Available This paper aims to assess the possibility of predicting Croatian recessionary episodes using probit models. The authors first estimate a baseline static model using four leading indicators of recession (monetary base, unemployment, industrial production, and CROBEX stock market index. Lag lengths of up to 6 months are examined for each of the observed variables in the probit specification, and several important conclusions arise from the estimated models. First, the stock market and money supply exhibit the most pronounced leading characteristics in the Croatian economy (a 3-month lag length is selected by the information criteria. Second, the dynamic model (including a lagged dependent dummy variable significantly outperforms the baseline static model. Third, the authors augment the probit model by the Economic Sentiment Indicator, which significantly contributes to the model accuracy. The latter confirms the main hypothesis of the paper, going in line with the assertion that psychological factors largely govern the economic cycles, growing in significance in times of economic hardship.

  2. Style of management and chosen sentiments and attitudes among employees of scientific organizations

    Directory of Open Access Journals (Sweden)

    Agnieszka Izabela Baruk

    2015-06-01

    Full Text Available The article presents issues associated with the style of management applied in scientific organizations in the context of sentiments and attitudes of employees. Attention is drawn particularly to the relations between the style of management perceived by employees and the level of their perceived contentedness and the perceived level of satisfaction, as well as between the perceived style of management and attitude reflecting their readiness to recommend an organization as an employer. The application of the method of statistical analysis, namely, the analysis of correspondence allowed drawing the conclusion that there are statistically important relations between the variables. These relations are comparably strongest in case of the perceived style of management and the level of satisfaction. Thus, it can be concluded that applying democratic style to employees favours stimulating their satisfaction and contentedness and at the same time contributes to assuming an open attitude characterized by the readiness to recommend an organization as a workplace and thus co-create its positive image.

  3. Islamic and conventional bank market value: Manager behavior and investor sentiment

    Directory of Open Access Journals (Sweden)

    Mouna Abdelhedi-Zouch

    2016-12-01

    Full Text Available This paper studies the effect of bank manager behavior and investor behavior on market value of Islamic and conventional banks in the Middle East and North Africa region. Firstly, our analysis denoted the positive effect of discretionary behavior of manager on both types of banks on share prices since discretionary behavior transmits to investor a positive signal of future earnings’ prospects. Also, we find that the conventional bank stock prices response is very high to negative signal compared with positive signal. This result is explained by prospect theory and loss aversion bias which specified that individuals are more sensitive to losses than gains of same magnitude. In particular, we discover that the negative effect of non-discretionary behavior is much lower on Islamic bank value since investors give more confidence to Islamic bank because they are motivated by the idea that Islamic banks are safer than conventional banks. Secondly, the results show that investor sentiment affects significantly both bank market prices. Thus, both Islamic and conventional banks’ market value depends similarly on manager and investor behavior. The implication of this paper is that Islamic bank concentrations reveal a positive effect on their price values because of the recently increased investments in Islamic banks.

  4. Libro de Mano: "Novela Política e Sentimental", um pasquim manuscrito

    Directory of Open Access Journals (Sweden)

    Francisca L. Nogueira de Azevedo

    2010-01-01

    Full Text Available Neste artigo as autoras analisam um documento depositado na seção de manuscritos da Biblioteca Nacional no Rio de Janeiro, na pasta de "jornais manuscritos", intitulado "Novella pollítica e sentimental"; descrição de factos dos tempos da Revolução e Campanha Oriental e da Colônia de Sacramento 1810-1823. Não consta a autoria, tampouco a data de produção do documento. O texto tem 51 páginas manuscritas e é dividido em três partes, e pressupomos que seja material de propaganda política em favor da monarquia espanhola. Este artigo destaca, inicialmente, em que medida os panfletos manuscritos serviram às elites coloniais para a mobilização política das camadas populares iletradas. O ponto central é a análise da narrativa novelesca, no sentido de perceber os elementos discursivos utilizados como persuasão em defesa da Espanha.

  5. Gauchos que lloran: masculinidades sentimentales en el imaginario criollista / Gauchos who Cry: Sentimental Masculinities in Criollo Imaginary

    Directory of Open Access Journals (Sweden)

    Ana Peluffo

    2013-01-01

    Full Text Available The present paper studies a canonical text in Argentinean literature, the Martín Fierro (1872-1878, by José Hernández. The objective is to explore, based on a debate on masculinity and nation,the sentimental side of criollo culture. Although Hernández’s gaucho is usually thought of as the archetype of a stoic masculinity that represses its emotions in order to fight wars at the border, this paper will show how that predominating notion undermines the tearful affective excesses constantly taking place in the text.

  6. Análisis sentimental de la polaridad de tweets en tiempo real aplicando algoritmos de clasificación

    OpenAIRE

    Campillos García, Eduardo

    2017-01-01

    El objetivo de este proyecto es el análisis, desarrollo y evaluación de un sistema de clasificación de polaridad sobre un producto determinado a través del contenido generado en Twitter en español. En primer lugar, se ha estudiado la situación actual en el campo del análisis sentimental (AS) y los avances más notables en esta área perteneciente al procesamiento del lenguaje natural. En segundo lugar, una vez estudiado el estado del arte, se pasará a desarrollar el código que implementarem...

  7. Suicides as a response to adverse market sentiment (1980-2016.

    Directory of Open Access Journals (Sweden)

    Pankaj Agrrawal

    Full Text Available Financial crises inflict significant human as well as economic hardship. This paper focuses on the human fallout of capital market stress. Financial stress-induced behavioral changes can manifest in higher suicide and murder-suicide rates. We find that these rates also correlate with the Gross Domestic Product (GDP growth rate (negatively associated; a -0.25% drop [in the rate of change in annual suicides for a +1% change in the independent variable], unemployment rate (positive link; 0.298% increase, inflation rate (positive link; 0.169% increase in suicide rate levels and stock market returns adjusted for the risk-free T-Bill rate (negative link; -0.047% drop. Suicides tend to rise during periods of economic turmoil, such as the recent Great Recession of 2008. An analysis of Centers for Disease Control and Prevention (CDC data of more than 2 million non-natural deaths in the US since 1980 reveals a positive correlation with unemployment levels. We find that suicides and murder-suicides associated with adverse market sentiment lag the initial stressor by up to two years, thus opening a policy window for government/public health intervention to reduce these negative outcomes. Both our models explain about 73 to 76% of the variance in suicide rates and rate of change in suicide rates, and deploy a total of four widely available independent variables (lagged and/or transformed. The results are invariant to the inclusion/exclusion of 2008 data over the 1980-2016 time series, the period of our study. The disconnect between rational decision making, induced by cognitive dissonance and severe financial stress can lead to suboptimal outcomes, not only in the area of investing, but in a direct loss of human capital. No economic system can afford such losses. Finance journal articles focus on monetary alpha, which is the return on a portfolio in excess of the benchmark; we think it is important to be aware of the loss of human capital as a consequence of

  8. A pattern-matched Twitter analysis of US cancer-patient sentiments.

    Science.gov (United States)

    Crannell, W Christian; Clark, Eric; Jones, Chris; James, Ted A; Moore, Jesse

    2016-12-01

    Twitter has been recognized as an important source of organic sentiment and opinion. This study aimed to (1) characterize the content of tweets authored by the United States cancer patients; and (2) use patient tweets to compute the average happiness of cancer patients for each cancer diagnosis. A large sample of English tweets from March 2014 through December 2014 was obtained from Twitter. Using regular expression software pattern matching, the tweets were filtered by cancer diagnosis. For each cancer-specific tweetset, individual patients were extracted, and the content of the tweet was categorized. The patients' Twitter identification numbers were used to gather all tweets for each patient, and happiness values for patient tweets were calculated using a quantitative hedonometric analysis. The most frequently tweeted cancers were breast (n = 15,421, 11% of total cancer tweets), lung (n = 2928, 2.0%), prostate (n = 1036, 0.7%), and colorectal (n = 773, 0.5%). Patient tweets pertained to the treatment course (n = 73, 26%), diagnosis (n = 65, 23%), and then surgery and/or biopsy (n = 42, 15%). Computed happiness values for each cancer diagnosis revealed higher average happiness values for thyroid (h_avg = 6.1625), breast (h_avg = 6.1485), and lymphoma (h_avg = 6.0977) cancers and lower average happiness values for pancreatic (h_avg = 5.8766), lung (h_avg = 5.8733), and kidney (h_avg = 5.8464) cancers. The study confirms that patients are expressing themselves openly on social media about their illness and that unique cancer diagnoses are correlated with varying degrees of happiness. Twitter can be employed as a tool to identify patient needs and as a means to gauge the cancer patient experience. Copyright © 2016 Elsevier Inc. All rights reserved.

  9. Suicides as a response to adverse market sentiment (1980-2016).

    Science.gov (United States)

    Agrrawal, Pankaj; Waggle, Doug; Sandweiss, Daniel H

    2017-01-01

    Financial crises inflict significant human as well as economic hardship. This paper focuses on the human fallout of capital market stress. Financial stress-induced behavioral changes can manifest in higher suicide and murder-suicide rates. We find that these rates also correlate with the Gross Domestic Product (GDP) growth rate (negatively associated; a -0.25% drop [in the rate of change in annual suicides for a +1% change in the independent variable]), unemployment rate (positive link; 0.298% increase), inflation rate (positive link; 0.169% increase in suicide rate levels) and stock market returns adjusted for the risk-free T-Bill rate (negative link; -0.047% drop). Suicides tend to rise during periods of economic turmoil, such as the recent Great Recession of 2008. An analysis of Centers for Disease Control and Prevention (CDC) data of more than 2 million non-natural deaths in the US since 1980 reveals a positive correlation with unemployment levels. We find that suicides and murder-suicides associated with adverse market sentiment lag the initial stressor by up to two years, thus opening a policy window for government/public health intervention to reduce these negative outcomes. Both our models explain about 73 to 76% of the variance in suicide rates and rate of change in suicide rates, and deploy a total of four widely available independent variables (lagged and/or transformed). The results are invariant to the inclusion/exclusion of 2008 data over the 1980-2016 time series, the period of our study. The disconnect between rational decision making, induced by cognitive dissonance and severe financial stress can lead to suboptimal outcomes, not only in the area of investing, but in a direct loss of human capital. No economic system can afford such losses. Finance journal articles focus on monetary alpha, which is the return on a portfolio in excess of the benchmark; we think it is important to be aware of the loss of human capital as a consequence of market

  10. The Power of Social Media Analytics: Text Analytics Based on Sentiment Analysis and Word Clouds on R

    Directory of Open Access Journals (Sweden)

    Ahmed Imran KABIR

    2018-01-01

    Full Text Available Apparently, word clouds have grown as a clear and appealing illustration or visualization strategy in terms of text. Word clouds are used as a part of various settings as a way to give a diagram by cleansing text throughout those words that come up with most frequently. Generally, this is performed constantly as an unadulterated text outline. In any case, that there is a bigger capability to this basic yet intense visualization worldview in text analytics. In this work, we investigate the adequacy of word clouds for general text analysis errands and also analyze the tweets to find out the sentiment and also discuss the legal aspects of text mining. We used R software to pull twitter data which depends altogether on word cloud as a visualization technique and also with the help of positive and negative words to determine the user sentiment. We indicate how this approach can be viably used to explain text analysis tasks and assess it in a qualitative user research.

  11. Investigating the Emotional Responses of Individuals to Urban Green Space Using Twitter Data: A Critical Comparison of Three Different Methods of Sentiment Analysis

    Directory of Open Access Journals (Sweden)

    Helen Roberts

    2018-03-01

    Full Text Available In urban research, Twitter data have the potential to provide additional information about urban citizens, their activities, mobility patterns and emotion. Extracting the sentiment present in tweets is increasingly recognised as a valuable approach to gathering information on the mood, opinion and emotional responses of individuals in a variety of contexts. This article evaluates the potential of deriving emotional responses of individuals while they experience and interact with urban green space. A corpus of over 10,000 tweets relating to 60 urban green spaces in Birmingham, United Kingdom was analysed for positivity, negativity and specific emotions, using manual, semi-automated and automated methods of sentiment analysis and the outputs of each method compared. Similar numbers of tweets were annotated as positive/neutral/negative by all three methods; however, inter-method consistency in tweet assignment between the methods was low. A comparison of all three methods on the same corpus of tweets, using character emojis as an additional quality control, identifies a number of limitations associated with each approach. The results presented have implications for urban planners in terms of the choices available to identify and analyse the sentiment present in tweets, and the importance of choosing the most appropriate method. Future attempts to develop more reliable and accurate algorithms of sentiment analysis are needed and should focus on semi-automated methods.

  12. Assessing students' sentiments towards the use of a Building Information Modelling (BIM) learning platform in a construction project management course

    Science.gov (United States)

    Suwal, Sunil; Singh, Vishal

    2018-07-01

    Building Information Modelling (BIM) tools and processes are increasingly adopted and implemented in the construction industry. Consequently, BIM education is considered increasingly important in Architecture, Engineering and Construction (AEC) education. While most of the research and literature on BIM education in engineering studies has focused on BIM implementation strategies, processes, benefits, and challenges, there is limited study on students' perception towards the implementation of BIM courses, or about online BIM learning platforms, or about the BIM tools themselves. Therefore, this paper takes the first steps towards addressing this gap. This study analyses students' (57 students) perception and sentiments towards the use of an online BIM learning platform and explores the potential implications of the findings for BIM education. The findings suggest that online BIM learning platforms are highly rated by students as a positive learning experience, indicating the need for greater integration of such tools and approaches in AEC courses.

  13. A Hierarchical multi-input and output Bi-GRU Model for Sentiment Analysis on Customer Reviews

    Science.gov (United States)

    Zhang, Liujie; Zhou, Yanquan; Duan, Xiuyu; Chen, Ruiqi

    2018-03-01

    Multi-label sentiment classification on customer reviews is a practical challenging task in Natural Language Processing. In this paper, we propose a hierarchical multi-input and output model based bi-directional recurrent neural network, which both considers the semantic and lexical information of emotional expression. Our model applies two independent Bi-GRU layer to generate part of speech and sentence representation. Then the lexical information is considered via attention over output of softmax activation on part of speech representation. In addition, we combine probability of auxiliary labels as feature with hidden layer to capturing crucial correlation between output labels. The experimental result shows that our model is computationally efficient and achieves breakthrough improvements on customer reviews dataset.

  14. Naive Bayes as opinion classifier to evaluate students satisfaction based on student sentiment in Twitter Social Media

    Science.gov (United States)

    Candra Permana, Fahmi; Rosmansyah, Yusep; Setiawan Abdullah, Atje

    2017-10-01

    Students activity on social media can provide implicit knowledge and new perspectives for an educational system. Sentiment analysis is a part of text mining that can help to analyze and classify the opinion data. This research uses text mining and naive Bayes method as opinion classifier, to be used as an alternative methods in the process of evaluating studentss satisfaction for educational institution. Based on test results, this system can determine the opinion classification in Bahasa Indonesia using naive Bayes as opinion classifier with accuracy level of 84% correct, and the comparison between the existing system and the proposed system to evaluate students satisfaction in learning process, there is only a difference of 16.49%.

  15. Twitter and traumatic brain injury: A content and sentiment analysis of tweets pertaining to sport-related brain injury.

    Science.gov (United States)

    Workewych, Adriana M; Ciuffetelli Muzzi, Madeline; Jing, Rowan; Zhang, Stanley; Topolovec-Vranic, Jane; Cusimano, Michael D

    2017-01-01

    Sport-related traumatic brain injuries are a significant public health burden, with hundreds of thousands sustained annually in North America. While sports offer numerous physical and social health benefits, traumatic brain injuries such as concussion can seriously impact a player's life, athletic career, and sport enjoyment. The culture in many sports encourages winning at all costs, placing athletes at risk for traumatic brain injuries. As social media has become a central part of everyday life, the content of users' messages often reflects the prevailing culture related to a particular event or health issue. We hypothesized that Twitter data might be useful for understanding public perceptions and misperceptions of sport-related traumatic brain injuries. We performed a content and sentiment analysis of 7483 Twitter ® tweets related to traumatic brain injuries in sports collected during June and July 2013. We identified five major themes. Users tweeted about personal traumatic brain injuries experiences, reported traumatic brain injuries in professional athletes, shared research about sport-related concussions, and discussed policy and safety in injury prevention, such as helmet use. We identified mixed perceptions of and sentiment toward traumatic brain injuries in sports: both an understanding that brain injuries are serious and disregard for activities that might reduce the public burden of traumatic brain injuries were prevalent in our Twitter analysis. While the scientific and medical community considers a concussion a form of traumatic brain injuries, our study demonstrates a misunderstanding of this fact among the public. In our current digital age, social media can provide useful insight into the culture around a health issue, facilitating implementation of prevention and treatment strategies.

  16. LE SENTIMENT, L’INVISIBLE DE LA PEINTURE À L’ÉPREUVE DU VISIBLE : LE COLORISME DE DELACROIX À TRAVERS LA CRITIQUE D’ART DE BAUDELAIRE (The sentiment, the invisible of the painting in the proof of the visible: the colourism of Delacroix through the art criticism of Baudelaire

    Directory of Open Access Journals (Sweden)

    Katalin Bartha-Kovács

    2015-06-01

    Full Text Available The article aims to analyse, following the example of some paintings of Delacroix, how the “invisible part” of the painting (the sentiment, or feeling can be made visible by the colour. To do this, we shall draw on the critical writings that Baudelaire devoted to the painting of Delacroix. At the same time, by focusing on the notion of sentiment, we shall try to connect, from a historical perspective, the colourist conception of the painting to the artistic theories of the Enlightenment, and point up the modifications undergone by this concept within French discourse on art.

  17. LE SENTIMENT, L’INVISIBLE DE LA PEINTURE À L’ÉPREUVE DU VISIBLE : LE COLORISME DE DELACROIX À TRAVERS LA CRITIQUE D’ART DE BAUDELAIRE (The sentiment, the invisible of the painting in the proof of the visible: the colourism of Delacroix through the art criticism of Baudelaire)

    OpenAIRE

    Katalin Bartha-Kovács

    2015-01-01

    The article aims to analyse, following the example of some paintings of Delacroix, how the “invisible part” of the painting (the sentiment, or feeling) can be made visible by the colour. To do this, we shall draw on the critical writings that Baudelaire devoted to the painting of Delacroix. At the same time, by focusing on the notion of sentiment, we shall try to connect, from a historical perspective, the colourist conception of the painting to the artistic theories of the Enlightenment, and...

  18. Does Identification With Rwanda Increase Reconciliation Sentiments Between Genocide Survivors and Non-Victims? The Mediating Roles of Perceived Intergroup Similarity and Self-Esteem During Commemorations

    Directory of Open Access Journals (Sweden)

    Clémentine Kanazayire

    2014-12-01

    Full Text Available A questionnaire survey (N = 247 investigated the influence of identification with the Rwandan nation on reconciliation sentiments between members of the survivor and of the non-victim groups of the 1994 genocide in Rwanda. Results showed that, whereas the two groups did not differ in their level of identification with the nation, members of the non-victim group were more willing to reconcile than members of the survivor group. Perceived intergroup similarity mediated the effect of national identification on reconciliation sentiment for both groups, but this effect was stronger among non-victims. Finally, self-esteem during commemorations also mediated this effect, but only among non-victims. We discuss the importance of people’s motivation to reconcile with out-group members in post-genocidal contexts in light of the common in-group identity model (Gaertner & Dovidio, 2000 as well as the needs-based model of intergroup reconciliation (Nadler & Schnabel, 2008.

  19. Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs

    Directory of Open Access Journals (Sweden)

    Andrew J Reagan

    2017-10-01

    Full Text Available Abstract The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, an extraordinary capacity which has profound implications for our understanding of human behavior. Given the growing assortment of sentiment-measuring instruments, it is imperative to understand which aspects of sentiment dictionaries contribute to both their classification accuracy and their ability to provide richer understanding of texts. Here, we perform detailed, quantitative tests and qualitative assessments of 6 dictionary-based methods applied to 4 different corpora, and briefly examine a further 20 methods. We show that while inappropriate for sentences, dictionary-based methods are generally robust in their classification accuracy for longer texts. Most importantly they can aid understanding of texts with reliable and meaningful word shift graphs if (1 the dictionary covers a sufficiently large portion of a given text’s lexicon when weighted by word usage frequency; and (2 words are scored on a continuous scale.

  20. Sentiment analysis: a comparison of deep learning neural network algorithm with SVM and naϊve Bayes for Indonesian text

    Science.gov (United States)

    Calvin Frans Mariel, Wahyu; Mariyah, Siti; Pramana, Setia

    2018-03-01

    Deep learning is a new era of machine learning techniques that essentially imitate the structure and function of the human brain. It is a development of deeper Artificial Neural Network (ANN) that uses more than one hidden layer. Deep Learning Neural Network has a great ability on recognizing patterns from various data types such as picture, audio, text, and many more. In this paper, the authors tries to measure that algorithm’s ability by applying it into the text classification. The classification task herein is done by considering the content of sentiment in a text which is also called as sentiment analysis. By using several combinations of text preprocessing and feature extraction techniques, we aim to compare the precise modelling results of Deep Learning Neural Network with the other two commonly used algorithms, the Naϊve Bayes and Support Vector Machine (SVM). This algorithm comparison uses Indonesian text data with balanced and unbalanced sentiment composition. Based on the experimental simulation, Deep Learning Neural Network clearly outperforms the Naϊve Bayes and SVM and offers a better F-1 Score while for the best feature extraction technique which improves that modelling result is Bigram.

  1. 'Nothing is so soon forgot as pain': Reading Agony in Adam Smith's The Theory of Moral Sentiments.

    Science.gov (United States)

    Franson, Craig

    2014-01-01

    Giving a rigorous philosophical explanation to the imagination's role in sympathy, Adam Smith's The Theory of Moral Sentiments became a central text in Romantic aesthetics. It not only justified the age's vogue for making suffering an object of artistic pleasure, it treated suffering's affectivity as the very foundation of society. Depicting agony as a spectacle to be read by others, Smith transformed morality into rhetoric, making human subjects into readers of a sentimentalised, textual world. Yet Smith's work restricted the bonds of sympathy, too, following established distinctions between mind and body that helped him to exclude physical pain from sympathetic response. This essay looks to Smith's context in the overlapping philosophical and medical discourses of the Scottish Enlightenment, exploring his moral theory's resonance with the nerve theories of Robert Whytt and William Cullen, then the leading figures in Scotland's rising medical community. Deepening our understanding of Smith's probable sources, it reframes Smith's intellectual and ideological legacy, foregrounding some of the ambivalent cultural and political implications of Smith's troubling censure of physical pain.

  2. Monitoring the environment and human sentiment on the Great Barrier Reef: Assessing the potential of collective sensing.

    Science.gov (United States)

    Becken, Susanne; Stantic, Bela; Chen, Jinyan; Alaei, Ali Reza; Connolly, Rod M

    2017-12-01

    With the growth of smartphone usage the number of social media posts has significantly increased and represents potentially valuable information for management, including of natural resources and the environment. Already, evidence of using 'human sensor' in crises management suggests that collective knowledge could be used to complement traditional monitoring. This research uses Twitter data posted from the Great Barrier Reef region, Australia, to assess whether the extent and type of data could be used to Great Barrier Reef organisations as part of their monitoring program. The analysis reveals that large amounts of tweets, covering the geographic area of interest, are available and that the pool of information providers is greatly enhanced by the large number of tourists to this region. A keyword and sentiment analysis demonstrates the usefulness of the Twitter data, but also highlights that the actual number of Reef-related tweets is comparatively small and lacks specificity. Suggestions for further steps towards the development of an integrative data platform that incorporates social media are provided. Copyright © 2017 Elsevier Ltd. All rights reserved.

  3. Negation handling in sentiment classification using rule-based adapted from Indonesian language syntactic for Indonesian text in Twitter

    Science.gov (United States)

    Amalia, Rizkiana; Arif Bijaksana, Moch; Darmantoro, Dhinta

    2018-03-01

    The presence of the word negation is able to change the polarity of the text if it is not handled properly it will affect the performance of the sentiment classification. Negation words in Indonesian are ‘tidak’, ‘bukan’, ‘belum’ and ‘jangan’. Also, there is a conjunction word that able to reverse the actual values, as the word ‘tetapi’, or ‘tapi’. Unigram has shortcomings in dealing with the existence of negation because it treats negation word and the negated words as separate words. A general approach for negation handling in English text gives the tag ‘NEG_’ for following words after negation until the first punctuation. But this may gives the tag to un-negated, and this approach does not handle negation and conjunction in one sentences. The rule-based method to determine what words negated by adapting the rules of Indonesian language syntactic of negation to determine the scope of negation was proposed in this study. With adapting syntactic rules and tagging “NEG_” using SVM classifier with RBF kernel has better performance results than the other experiments. Considering the average F1-score value, the performance of this proposed method can be improved against baseline equal to 1.79% (baseline without negation handling) and 5% (baseline with existing negation handling) for a dataset that all tweets contain negation words. And also for the second dataset that has the various number of negation words in document tweet. It can be improved against baseline at 2.69% (without negation handling) and 3.17% (with existing negation handling).

  4. On an emotional node: modeling sentiment in graphs of action verbs

    DEFF Research Database (Denmark)

    Petersen, Michael Kai; Hansen, Lars Kai

    2012-01-01

    Neuroimaging studies have over the past decades established that language is grounded in sensorimotor areas of the brain. Not only action verbs related to face and hand motion but also emotional expressions activate premotor systems in the brain. Hypothesizing that patterns of neural activation...... might be reflected in the latent semantics of words, we apply hierarchical clustering and network graph analysis to quantify the interaction of emotion and motion related action verbs based on two large-scale text corpora. Comparing the word topologies to neural networks we suggest that the co......-activation of associated word forms in the brain resemble the latent semantics of action verbs, which may in turn reflect parameters of force and spatial differentiation underlying action based language....

  5. Violencia de género y procesos de empobrecimiento: estudio de la violencia contra las mujeres por parte de su pareja o ex-pareja sentimental

    OpenAIRE

    Espinar-Ruiz, Eva

    2003-01-01

    El objetivo de esta investigación ha sido analizar las posibles relaciones entre la violencia de la que puede ser objeto una mujer por parte de su pareja o ex-pareja sentimental y diferentes procesos de empobrecimiento. Para ello, aplicando un enfoque de género, se atiende a dos perspectivas: los procesos de empobrecimiento como contexto en el que pueden tener lugar situaciones de violencia y la propia violencia como factor de empobrecimiento. La estrategia metodológica seguida es básic...

  6. Hate Speech or Genocidal Discourse? An Examination of Anti-Roma Sentiment in Contemporary Europe

    Directory of Open Access Journals (Sweden)

    Emma Townsend

    2014-08-01

    Full Text Available Roma in contemporary Europe are the frequent targets of hate speech and discriminatory state policies. Despite being the largest minority in the European Union with a population of 10-12 million, they are frequently denied a space in European society, and are widely perceived to be unchangeable and inherently ‘other’. As a result, Roma experience substantially inferior life conditions when compared to majority European populations. Despite the many recent European Union initiatives and action plans, such as the Decade of Roma Inclusion (2005-2015, the situation of Roma in contemporary Europe is not improving, and in some cases is actually worsening. This persecution is not a modern phenomenon; Roma have suffered stigmatisation and exclusion throughout their history in Europe. The severity and continuity of the persecution of Roma at the hands of a multitude of European authorities suggests the presence of an underlying motivation or intent that informs both the rhetoric about and treatment of Romani people. This paper will examine if the persecution of Roma in contemporary Europe is guided by a genocidal discourse. To this end, the boundaries between hate speech, genocidal discourse, and incitement to genocide will be scrutinised. It will be argued that both the way the Roma are spoken about and the treatment they receive are informed by a genocidal discourse that has endured relatively unchanged throughout their history in Europe. Roma are not just racially vilified, rather their culture as well as their physical presence in contemporary Europe are widely devalued in both words and in state action. Any improvement in their situation is therefore unlikely while this discourse continues.

  7. L'influence d'un stage d'enseignement dans un musee de sciences naturelles sur le sentiment d'autoefficacite en sciences de futurs enseignants

    Science.gov (United States)

    Deblois, Annick

    Cette etude qualitative multicas est ancree dans l'approche sociale-cognitive de la theorie de l'autoefficacite de Bandura (1977). Elle s'interesse a quatre stages a l'enseignement qui se sont deroules au Musee canadien de la nature a Ottawa, Canada, en 2009. L'utilisation de donnees secondaires issues du questionnaire STEBI-B traduit et modifie (Dionne et Couture, 2010) ainsi que des entrevues semi-dirigees ont permis une analyse du changement du sentiment d'autoefficacite en sciences chez les stagiaires. Les elements les plus interessants de cette recherche sont l'apprentissage vicariant et la possibilite de repetition qui favorise une meilleure connaissance de soi et une pratique reflexive. Les resultats, dans l'ensemble positifs, illustrent bien le potentiel d'un tel stage afin de rehausser le sentiment d'autoefficacite en sciences chez des stagiaires en enseignement, particulierement chez ceux qui se destinent a enseigner a l'elementaire puisque ceux-ci ont souvent une formation academique dans un domaine autre que les sciences.

  8. The Online Dissemination of Nature–Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to “Nature-Deficit Disorder”

    Science.gov (United States)

    Palomino, Marco; Taylor, Tim; Göker, Ayse; Isaacs, John; Warber, Sara

    2016-01-01

    Evidence continues to grow supporting the idea that restorative environments, green exercise, and nature-based activities positively impact human health. Nature-deficit disorder, a journalistic term proposed to describe the ill effects of people’s alienation from nature, is not yet formally recognized as a medical diagnosis. However, over the past decade, the phrase has been enthusiastically taken up by some segments of the lay public. Social media, such as Twitter, with its opportunities to gather “big data” related to public opinions, offers a medium for exploring the discourse and dissemination around nature-deficit disorder and other nature–health concepts. In this paper, we report our experience of collecting more than 175,000 tweets, applying sentiment analysis to measure positive, neutral or negative feelings, and preliminarily mapping the impact on dissemination. Sentiment analysis is currently used to investigate the repercussions of events in social networks, scrutinize opinions about products and services, and understand various aspects of the communication in Web-based communities. Based on a comparison of nature-deficit-disorder “hashtags” and more generic nature hashtags, we make recommendations for the better dissemination of public health messages through changes to the framing of messages. We show the potential of Twitter to aid in better understanding the impact of the natural environment on human health and wellbeing. PMID:26797628

  9. The Online Dissemination of Nature–Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to “Nature-Deficit Disorder”

    Directory of Open Access Journals (Sweden)

    Marco Palomino

    2016-01-01

    Full Text Available Evidence continues to grow supporting the idea that restorative environments, green exercise, and nature-based activities positively impact human health. Nature-deficit disorder, a journalistic term proposed to describe the ill effects of people’s alienation from nature, is not yet formally recognized as a medical diagnosis. However, over the past decade, the phrase has been enthusiastically taken up by some segments of the lay public. Social media, such as Twitter, with its opportunities to gather “big data” related to public opinions, offers a medium for exploring the discourse and dissemination around nature-deficit disorder and other nature–health concepts. In this paper, we report our experience of collecting more than 175,000 tweets, applying sentiment analysis to measure positive, neutral or negative feelings, and preliminarily mapping the impact on dissemination. Sentiment analysis is currently used to investigate the repercussions of events in social networks, scrutinize opinions about products and services, and understand various aspects of the communication in Web-based communities. Based on a comparison of nature-deficit-disorder “hashtags” and more generic nature hashtags, we make recommendations for the better dissemination of public health messages through changes to the framing of messages. We show the potential of Twitter to aid in better understanding the impact of the natural environment on human health and wellbeing.

  10. The Online Dissemination of Nature-Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to "Nature-Deficit Disorder".

    Science.gov (United States)

    Palomino, Marco; Taylor, Tim; Göker, Ayse; Isaacs, John; Warber, Sara

    2016-01-19

    Evidence continues to grow supporting the idea that restorative environments, green exercise, and nature-based activities positively impact human health. Nature-deficit disorder, a journalistic term proposed to describe the ill effects of people's alienation from nature, is not yet formally recognized as a medical diagnosis. However, over the past decade, the phrase has been enthusiastically taken up by some segments of the lay public. Social media, such as Twitter, with its opportunities to gather "big data" related to public opinions, offers a medium for exploring the discourse and dissemination around nature-deficit disorder and other nature-health concepts. In this paper, we report our experience of collecting more than 175,000 tweets, applying sentiment analysis to measure positive, neutral or negative feelings, and preliminarily mapping the impact on dissemination. Sentiment analysis is currently used to investigate the repercussions of events in social networks, scrutinize opinions about products and services, and understand various aspects of the communication in Web-based communities. Based on a comparison of nature-deficit-disorder "hashtags" and more generic nature hashtags, we make recommendations for the better dissemination of public health messages through changes to the framing of messages. We show the potential of Twitter to aid in better understanding the impact of the natural environment on human health and wellbeing.

  11. Nostalgia and Consumer Sentiment.

    Science.gov (United States)

    Moriarty, Sandra Ernst; McGann, Anthony F.

    1983-01-01

    Concludes that designer magazine advertisements contain more traces of nostalgia than do those in consumer magazines and that they tend to be more extreme in their fluctuation patterns. Notes that nostalgia increases in ads when public confidence is decreasing. (FL)

  12. General Sentiment and Value

    DEFF Research Database (Denmark)

    Arvidsson, Adam; Etter, Michael; Colleoni, Elanor

    The aim of this paper is to deepen the understanding of the relationship between corporate reputation and financial value. Theories as the resource based view or the contractual view lie ground for the assumption of a linear positive correlation between reputation and financial performance. However......, existing empirical studies have provided conflicting results regarding the direction and strength of this relationship so far. In this paper we claim that the assumption of a direct linear correlation between corporate reputation and financial value misrepresents current financial practices...

  13. Ce “sentiment de culpabilité” That “Guilty Feeling” : Emotions and Motivation in Migration and Transnational Caregiving’

    Directory of Open Access Journals (Sweden)

    Loretta Baldassar

    2010-10-01

    Full Text Available Cet article explore l’expérience de la “culpabilité” en tant qu’émotion jouant un rôle moteur dans les obligations réciproques de soin dans les relations familiales transnationales. Je pose l’hypothèse qu’en créant une séparation physique, une absence et un sentiment de manque, l’acte migratoire pousse les migrants à se sentir coupables de ne pas remplir l’obligation morale de coprésence. Les migrants se sentent souvent coupables de ne pas être présents pour s’occuper de leurs parents âgés ; les parents se sentent souvent coupables de ne pas participer à la vie de leurs enfants et de leurs petits-enfants. Ce “sentiment de culpabilité” les encourage à “rester en contact” aussi souvent et effectivement que possible en créant des occasions leur permettant d’échanger coprésence et don de soi. En renforçant les relations, en exerçant une influence sur autrui, et en allégeant les inégalités relationnelles, la culpabilité peut servir au final à renforcer et maintenir les relations de soin transnationales. Cependant, dans les relations transnationales où les devoirs sont trop lourds pour être remplis, les individus peuvent se désengager du soin afin d’éviter des sentiments de culpabilité accablants et fragilisants.This paper explores the experience of “guilt” as a motivating emotion in reciprocal obligations to care in transnational kinship relations. My hypothesis is that the act of migration, by causing physical separation, absence and longing, causes migrants to feel guilty about their moral obligations to be co-present. For instance, migrants often feel guilty about not being present to look after ageing parents; similarly, parents often feel guilty about not participating in the lives of their children and especially grandchildren. This “guilty feeling” motivates them to “stay in touch” as often and as effectively as they can by creating opportunities in which they can

  14. Anti-Muslim Sentiments and Violence: A Major Threat to Ethnic Reconciliation and Ethnic Harmony in Post-War Sri Lanka

    Directory of Open Access Journals (Sweden)

    Athambawa Sarjoon

    2016-10-01

    Full Text Available Following the military defeat of LTTE terrorism in May 2009, the relationship between ethnic and religious groups in Sri Lanka became seriously fragmented as a result of intensified anti-minority sentiments and violence. Consequently, the ethnic Muslims (Moors became the major target in this conflict. The major objective of this study is to critically evaluate the nature and the impact of the anti-Muslim sentiments expressed and violence committed by the extreme nationalist forces during the process of ethnic reconciliation in post-war Sri Lanka. The findings of the study reveal that, with the end of civil war, Muslims have become “another other” and also the target of ethno-religious hatred and violence from the vigilante right-wing ethno-nationalist forces that claim to be protecting the Sinhala-Buddhist nation, race, and culture in Sri Lanka. These acts are perpetrated as part of their tactics aimed to consolidate a strong Sinhala-Buddhist nation—and motivated by the state. Furthermore, the recourse deficit and lack of autonomy within the organizational hierarchy of the Buddhist clergy have motivated the nationalist monks to engage in politics and promote a radical anti-minority rhetoric. This study recommends institutional and procedural reforms to guide and monitor the activities of religious organizations, parties, and movements, together with the teaching of religious tolerance, as the preconditions for ethnic reconciliation and ethnic harmony in post-war Sri Lanka. This study has used only secondary data, which are analyzed in a descriptive and interpretive manner.

  15. Pequeños defectos que debemos corregir: aprendiendo a ser mujer en la historieta sentimental de los años cincuenta y sesenta

    Directory of Open Access Journals (Sweden)

    Jiménez Morales, Rosario

    2011-09-01

    Full Text Available The so called “sentimental story” published in the 40s and 50s in Spain played an important part in women education during the postwar period. Publications as Florita, Mariló or Blanca spread a symbolic construction of feminity based on submissiveness. Love was the only destiny for women. And therefore they had to prepare themselves for it. Values as simplicity, integrity, absolute devotion to men and to the family, and rejection of fantasy represented the axiology of this publications. Feminine comic perpetuated in this way the asymetric relationships in the Spanish society at the time by using a process sometimes even autorreferential since this reductionist image was created and disseminated by women authors as well.

    La historieta sentimental de los años cuarenta y cincuenta jugó un papel fundamental en la educación de la mujer durante la época de la posguerra en España. Publicaciones como Florita, Mariló o Blanca difundían una construcción simbólica de la feminidad basada en la sumisión. La mujer era el sujeto destinado al amor y debía prepararse para ese final único. Valores como la sencillez, la honradez, la entrega absoluta al hombre y a la familia y el rechazo de la fantasía constituían la axiología de estas publicaciones. De esta forma, el cómic femenino perpetuaba las relaciones asimétricas de poder presentes en la sociedad española de la época mediante un proceso en ocasiones autorreferencial, ya que fueron muchas las autoras que colaboraron en la difusión de esta imagen reduccionista.

  16. Under Under Under / Merit Kask

    Index Scriptorium Estoniae

    Kask, Merit

    2006-01-01

    20. nov. esietendub Kumu auditooriumis MTÜ Ühenduse R.A.A.A.M teatriprojekt "Under" poetess Marie Underist. Lavastajad Merle Karusoo ja Raimo Pass, kunstnik Jaagup Roomet, helilooja Urmas Lattikas, peaosas Katrin Saukas

  17. When a new technological product launching fails: A multi-method approach of facial recognition and E-WOM sentiment analysis.

    Science.gov (United States)

    Hernández-Fernández, Dra Asunción; Mora, Elísabet; Vizcaíno Hernández, María Isabel

    2018-04-17

    The dual aim of this research is, firstly, to analyze the physiological and unconscious emotional response of consumers to a new technological product and, secondly, link this emotional response to consumer conscious verbal reports of positive and negative product perceptions. In order to do this, biometrics and self-reported measures of emotional response are combined. On the one hand, a neuromarketing experiment based on the facial recognition of emotions of 10 subjects, when physical attributes and economic information of a technological product are exposed, shows the prevalence of the ambivalent emotion of surprise. On the other hand, a nethnographic qualitative approach of sentiment analysis of 67-user online comments characterise the valence of this emotion as mainly negative in the case and context studied. Theoretical, practical and methodological contributions are anticipated from this paper. From a theoretical point of view this proposal contributes valuable information to the product design process, to an effective development of the marketing mix variables of price and promotion, and to a successful selection of the target market. From a practical point of view, the approach employed in the case study on the product Google Glass provides empirical evidence useful in the decision making process for this and other technological enterprises launching a new product. And from a methodological point of view, the usefulness of integrated neuromarketing-eWOM analysis could contribute to the proliferation of this tandem in marketing research. Copyright © 2018 Elsevier Inc. All rights reserved.

  18. Inequality and anti-globalization backlash by political parties

    NARCIS (Netherlands)

    Burgoon, B.

    2013-01-01

    Does income inequality increase political backlash against European and global integration? This paper reports research suggesting that it can. The article analyses party opposition to and support for trade openness, European Union integration and general internationalism of political party

  19. Città, violenza urbana e sentimento di insicurezza / Villes, violence urbaine et sentiment d’insécurité / Cities, urban violence and insecurity

    Directory of Open Access Journals (Sweden)

    Lourenço Nelson

    2012-10-01

    Full Text Available Cet article met en évidence que la violence urbaine et l’insécurité sont des thèmes centraux pour les sociétés actuelles car ils font partie des préoccupations de la population et de la vie démocratique de manière significative. Pour aborder cette problématique, il est nécessaire d’effectuer une analyse extensive de la mondialisation et des dynamiques urbaines qui caractérisent la fin de l’époque moderne dans ses multiples dimensions, par exemple sociales, culturelles et politiques. Violence urbaine et insécurité demandent une structure institutionnelle nouvelle et la définition de politiques publiques de sécurité nouvelles pour répondre à l’insécurité qui domine dans les sociétés urbaines.L’analyse globale des relations entre l’évolution de la criminalité et le développement du sentiment d’insécurité amène l’auteur à expliquer la manière dont les sociétés contemporaines vivent et abordent la question de la sécurité. This paper argues that urban violence and insecurity are central societal issues which are a significant part of people's concerns and democratic life. Its analysis implies an extensive understanding of globalisation and urban dynamics that characterise late modernity in its multiple dimensions: i.e. the social, cultural, political, and economical dimensions.Urban violence and insecurity call for a new institutional framework and the definition of new public security policies that will respond to the insecurity that prevails in urban society.The comprehensive analysis of the relationship between the evolution of crime and the development of the feeling of insecurity allows us to understand how contemporary society lives and deals with the issue of security.

  20. Apport de la théorie du sentiment d’autoefficacité pour le développement de la compétence technopédagogique des futurs enseignants

    Directory of Open Access Journals (Sweden)

    Sonia Lefebvre

    2015-01-01

    Full Text Available Le texte s’intéresse à la formation technopédagogique des futurs enseignants, et plus précisément, aux pratiques à déployer en formation initiale pour accroître leur compétence professionnelle à intégrer les TIC. Les pratiques proposées prennent appui sur la théorie du sentiment d’autoefficacité d’Albert Bandura, ce sentiment pouvant influencer leur compétence à intégrer les TIC. Appuyé par des travaux empiriques, le texte aborde les sources susceptibles d’influencer l’autoefficacité à intégrer les TIC dans un cadre pédagogique et identifie des pistes d’action à envisager. Enfin, la réflexion amène à repenser les interventions des formateurs tant en formation initiale qu’en formation continue et à remettre en question, sur le plan empirique, les dispositifs de formation.

  1. Querying Sentiment Development over Time

    DEFF Research Database (Denmark)

    Andreasen, Troels; Christiansen, Henning; Have, Christian Theil

    2013-01-01

    A new language is introduced for describing hypotheses about fluctuations of measurable properties in streams of timestamped data, and as prime example, we consider trends of emotions in the constantly flowing stream of Twitter messages. The language, called EmoEpisodes, has a precise semantics...... that measures how well a hypothesis characterizes a given time interval; the semantics is parameterized so it can be adjusted to different views of the data. EmoEpisodes is extended to a query language with variables standing for unknown topics and emotions, and the query-answering mechanism will return...... instantiations for topics and emotions as well as time intervals that provide the largest deflections in this measurement. Experiments are performed on a selection of Twitter data to demonstrates the usefulness of the approach....

  2. La traducción de las escritoras inglesas y la novela española del primer tercio del siglo XIX: lo histórico, lo sentimental y lo gótico

    Directory of Open Access Journals (Sweden)

    Establier Pérez, Helena

    2010-06-01

    Full Text Available Though women writing was presenting in the England of the first third of century XIX a considerable development and a maturity, the certain thing is that the list of British novelists whose works arrive at that same time at our country is limited enough. All these texts —translated into Spanish in the same dates, the second and the third decades of the century— are framed inside popular genres, with great presence of didactism and sentimentalism, elements derived from the adventures of the heroic narrative and ingredients of Gothic romances. This paper focuses in the scarce translations from English women’s novels presenting elements and narrative techniques characteristic of Gothic tales, a genre very inusual in Spain at the beginning os XIXth century, specifically the works of Sophia Lee, Regina Maria Roche and Ann Radcliffe. Its presence in the Spanish literary panorama of the first third of XIXth. Century reveals the publishing demands of a new public, more and more bourgeois and feminine, eager to consume the readings that entertained the European middle-class of his time and to have access to women writing, as much in the didactic and sentimental field like in the Gothic novel.Aunque la escritura de las mujeres presentaba en la Inglaterra del primer tercio del siglo XIX un desarrollo y una madurez considerables, lo cierto es que la lista de novelistas británicas cuyas obras llegan en esa misma época a nuestro país es bastante reducida. Todos estos textos —que en conjunto no superan la veintena y que se traducen al español en las mismas fechas, la segunda y la tercera décadas del siglo— se enmarcan dentro de géneros populares, con gran presencia del didactismo y de lo sentimental, elementos derivados de las aventuras de la narrativa heroica e ingredientes del relato gótico que destacan sobre el fondo social costumbrista de la novela inglesa dieciochesca. Este trabajo se centra fundamentalmente en las escasas traducciones de

  3. Does Online Sentiment Predict Stock Market Indices? The ARDL Bounds Tests Based on Sina-Microblog Data%网络舆情是否影响股市行情?基于新浪微博大数据的ARDL模型边限分析

    Institute of Scientific and Technical Information of China (English)

    陈云松; 严飞

    2017-01-01

    本文基于新浪微博大数据,分析互联网上的股市舆情是否影响真实世界中的股市行情.在梳理网络舆情,特别是微博影响股市的机制的基础上,我们利用具有"利好"和"利空"含义的股市术语的微博出现词频("热词指数"),生成股市的"微博信心指数"."格兰杰因果检验"和"自回归分布滞后模型"(ARDL)边限检验表明:在股市震荡期,早前三天内的"微博信心指数"有助于预测上证指数;"微博信心指数"和"上证指数"存在正向相关的均衡关系;在股市行情平稳期,以上的统计关联并不存在;网络舆情通过影响入市资金流进一步影响股市行情.%This study focuses on the relationship between online sentiment and the stock market as both play a significant role in modern life.More specifically, based on a time series analysis of Sina-Microblog data and SSE composite index data, this paper explores whether and how Sina-Microblog feeds affect stock market trends in China.We extracted the frequency of occurrence of stock market-related terms on Sina-Microblog to construct an indicator of online market sentiment.Considering the complexity of the effects of online sentiment on the process of decision-making, we divided the stock market into low volatility and high volatility to analyze the effects.Granger tests using the T-Y process and co-integration analyses based on bound tests using the ARDL model show that: 1) the indicator of online market sentiment in previous 1-3 days is a statistically significant predictor of the daily SSE composite index;2) there is long-term relationship between online market sentiment and the SSE composite index;3) the relationship is insignificant when the market volatility is low, and 4) the relationship is mediated by the capital flow into the stock market.As an empirical study of the online sentiment influences real economic and social consequences, this paper contributes to our understanding of the vital role that

  4. Élaboration et validation de l’échelle de la perception et du sentiment d’auto-efficacité en vidéocommunication (ÉPAV .

    Directory of Open Access Journals (Sweden)

    Patrick Giroux

    2008-01-01

    Full Text Available L’article présente le processus d’élaboration et de validation de l’échelle de la perception et du sentiment d’auto-efficacité des apprenants vis-à-vis de la vidéocommunication (ÉPAV. Basée sur la théorie sociocognitive de Bandura (1977, 1982, 1997/2007, cette échelle permet d’évaluer deux dimensions: la perception générale de la vidéocommunication et celle que l’individu a de son propre niveau de compétence dans ce contexte. Les résultats soutiennent la structure bidimensionnelle ainsi que la cohérence interne de l’ÉPAV. Des corrélations avec des mesures de la motivation et de l’expérience en vidéocommunication ainsi qu’avec des mesures de l’attention en appuient la validité.

  5. L’esport com a instrument reforçador del sentiment nacional. Les implicacions dels triomfs de la selecció espanyola de futbol en el discurs de la militància valenciana d’esquerra i centreesquerra

    Directory of Open Access Journals (Sweden)

    Lluís Català Oltra

    2013-12-01

    Full Text Available En aquest treball es repassa primerament el paper que ha tingut l’esport en el reforçament de la identitat nacional. A continuació, centrem l’atenció en el futbol per a parlar de la dinàmica centre-perifèria duta al terreny dels clubs de la Lliga espanyola; i dels èxits de la selecció espanyola i les implicacions per al sentiment nacional. Això últim ens serveix de base per a l’estudi empíric desenvolupat a partir d’entrevistes semiestructurades a militants de base de partits valencians d’esquerra i centreesquerra. Amb aquest material analitzem els discursos dels militants sobre aquestes victòries i la seua relació amb la identitat nacional. | In this work firstly we review the role played by the sport in the reinforcement of national identity. Next, we focus on the football, to talk about the centre-periphery dynamic brought to the terrain of Spanish League clubs; and about the successes of the Spanish national team and their implications for the national feeling. This last serves us as a base for the empirical study developed from semistructured interviews to militants of left-wing and centre-left-wing Valencian parties. With this material we analyse the discourses of the militants about these victories and their relation with national identity.

  6. 浅谈高校“两课”教师的师德情操及其培育%The "Two Courses" in Colleges Teachers' Moral Senti-ment and Nurture

    Institute of Scientific and Technical Information of China (English)

    梁舒鹃

    2013-01-01

      高校“两课”教师承担着对大学生进行马克思主义思想理论教育的艰巨任务,其良好的师德风范形象,是提高“两课”教学实效的基础。作为从事马克思义理论与思想政治教育研究和教学的“两课”教师,必须具备高尚的师德情操,同时融入到对大学生的世界观、人生观和价值观的教育引导之中。为此,“两课”教师要多方面进行道德情操的自我修养和培育。%"Two Courses" teachers bear the arduous task of the Marxist ideological and theoretical education to college students, and teachers' morality and image are the basis of improving the teaching of"Two Courses". As"Two Courses"teachers who un-dertake research and teaching in Marxist theory and ideological and political education, we must have noble sentiment, mean-while we should find it's way into the education and guidance of view of the world, life and values of college students. Therefore,"Two Courses" teachers should undergo moral self- cultivation and nurture in various aspects.

  7. Vittimizzazione e senso di insicurezza nei confronti del crimine: un'analisi empirica sul caso italiano / Criminal victimization and people's perception of safety: an Italian research / Victimisation criminelle et sentiment d'insécurité: une recherche empirique en Italie

    Directory of Open Access Journals (Sweden)

    Triventi Moris

    2008-10-01

    Full Text Available In this paper the relationship between criminal victimization and people’s perception of safety is explored. At first sight, the connection between these phenomena seems to be obvious: victims of a crime are probably more unsafe than non victimized people. However, many studies have found that the relationship between fear and crime is more complex than expected. In the first part of the paper the mixed research results are discussed and some reasons of this heterogeneity are identified. In the second part an analysis is conducted on data from the Italian Survey on Citizens’ Safety (Indagine sulla sicurezza dei cittadini. The main findings indicate that victimization affects both feelings of safety in the streets and in one’s own home, but with different intensity. Theft and snatch victimization is associated with safety in the streets, whereas burglary victimization with the perception of safety in one’s own home. Multivariate binomial regression models show that in Italy previous victimization contributes to increase the probability of feeling unsafe both in the streets and in one’s own home, all else being equal.Le but de cet article est d'analyser la relation entre l'expérience de victimisation et le sentiment d'insécurité collective. Au premier regard, la relation entre ces deux phénomènes peut sembler évidente: le sentiment d'insécurité est peut-être plus fort chez les victimes de crime que chez ceux qui n'ont jamais été frappés par le crime. Toutefois, beaucoup d'études ont montré que la relation entre l'insécurité et le crime est plus complexe qu'on ne l'avait prévu. Dans la première partie de cet article, nous discutons les résultats contradictoires des études mentionnées plus haut et identifions quelques-un des motifs de cette hétérogénéité. Dans la deuxième partie, nous effectuons une analyse sur les données de l'enquête italienne sur la sécurité des citoyens (Indagine sulla sicurezza dei

  8. Sex and sentiment in Cuban tourism.

    Science.gov (United States)

    Babb, Florence E

    2010-01-01

    Helen Safa has been a leading program builder and pioneer in research that examines the complex intersections of gender, race, class, and nation in Latin America and the Caribbean. Her comparative research culminated in her influential book, The Myth of the Male Breadwinner: Women and Industrialization in the Caribbean (1995), which examined gender, family, and employment across three Caribbean societies. Over several decades Safa has inspired scholarship throughout the Caribbean and the Americas and her work is exemplary of engaged anthropology in the region. Here I present work I conducted in Cuba that was guided, like my work in Peru, Nicaragua, and southern Mexico by the writings of Safa and others who saw the critical need to bring gender into meaningful discussion in the field of Latin American and Caribbean studies. In what follows, drawn from my broader research on tourism in four nations, I explore and reflect on the contemporary dynamics of sex and romance tourism in Cuba. I suggest that the allure of this domain of tourism may be enhanced by Cuba's global political identity, and that Cuban women participating in commodified and intimate exchanges reveal an ability to get along in a market economy that generally excludes them.

  9. Semantic Sentiment Analysis of Twitter Data

    OpenAIRE

    Nakov, Preslav

    2017-01-01

    Internet and the proliferation of smart mobile devices have changed the way information is created, shared, and spreads, e.g., microblogs such as Twitter, weblogs such as LiveJournal, social networks such as Facebook, and instant messengers such as Skype and WhatsApp are now commonly used to share thoughts and opinions about anything in the surrounding world. This has resulted in the proliferation of social media content, thus creating new opportunities to study public opinion at a scale that...

  10. Scope of negation detection in sentiment analysis

    NARCIS (Netherlands)

    Dadvar, M.; Hauff, C.; de Jong, Franciska M.G.

    2011-01-01

    An important part of information-gathering behaviour has always been to find out what other people think and whether they have favourable (positive) or unfavourable (negative) opinions about the subject. This survey studies the role of negation in an opinion-oriented information-seeking system. We

  11. Predicting sentiment about places of living

    OpenAIRE

    Liu, Feifei

    2017-01-01

    Nowadays studies about the quality of life in major cities are often published in the daily news. These contain ranked list according to the quality of living with indicators representing various aspects. Typical indicators are crime level, transport, health care etc. Along with the flourishing of different social medias, a huge amount of information could be collected from the Internet. Moreover, machine learning as a branch of artificial intelligence becomes more and more prominent. The rec...

  12. Daily Market News Sentiment and Stock Prices

    NARCIS (Netherlands)

    D.E. Allen (David); M.J. McAleer (Michael); A.K. Singh (Abhay)

    2015-01-01

    textabstractIn recent years there has been a tremendous growth in the influx of news related to traded assets in international financial markets. This financial news is now available via print media but also through real-time online sources such as internet news and social media sources. The

  13. Le roman anglais du XVIIIe siècle à l’opéra : la sentimentalité, Pamela et The Maid of the Mill The 18th-century Novel as Opera: Sentimentality, Pamela and The Maid of the Mill

    Directory of Open Access Journals (Sweden)

    Michael Burden

    2011-12-01

    Full Text Available Cet article revient sur la notion de sentimentalité et particulièrement sur l’opéra sentimental qui dérive du roman anglais de même nature. L’idée du triomphe ultime du bien, de la possibilité pour une jeune fille pauvre mais honnête de réussir dans la vie et de la bonté comme lien inaltérable unissant les hommes acquit une telle force à la fin du XVIIIe siècle qu’elle a été utilisée pour la définir. Une des œuvres les plus significatives du style sentimental, Pamela, le roman de Richardson, retint l’attention du librettiste Isaac Bickerstaffe (1733-1808, qui le transforma en « opéra anglais » faisant remarquer que son œuvre, « une bagatelle à bien des points de vue, constituait la première pièce sentimentale qui paraisse sur la scène anglaise depuis 40 ans ». Mis en musique par Samuel Arnold (1740-1802 l’opéra présente un genre nouveau, « l’opéra pastiche », qui incorpore la musique de plusieurs compositeurs. Musicalement, l’opéra n’a rien de très original et selon nos critères actuels, l’absence d’un seul compositeur nettement identifiable ou d’une esthétique de composition particulière en fait un objet d’art difficile à jauger. Mais la simplicité de  la musique elle-même constitue un attribut essentiel qui permet à la sentimentalité de l’histoire de s’exprimer et annonce véritablement la naissance d’un nouveau genre d’opéra anglais, le pastiche. De même, les caractéristiques très particulières des représentations théâtrales en Angleterre ont joué un rôle déterminant dans le développement de l’opéra sentimental à Londres.This article returns to the well-known notion of sentimental culture, and specifically, to sentimental opera derived from the English novel.  The notion that goodness must triumph, that a poor but honest girl should ‘make good’, and that such goodness should form a binding force between humans, was such a strong force in

  14. Appréhension du sentiment épilinguistique à travers la textualisation d'un fait de langue: ne vs ne... pas dans les Pensées de Pascal

    Directory of Open Access Journals (Sweden)

    Molard-Riocreux Ingrid

    2012-07-01

    Full Text Available L’étude de la négation en langue classique est sans doute le domaine de la recherche qui cristallise le mieux l’opposition entre illusion du chaos et illusion téléologique, les deux présupposés théoriques majeurs de la linguistique historique. La confrontation des thèses les plus marquantes permet de mettre au jour les preuves d’une orientation, plus ou moins assumée selon les cas, vers l’un ou l’autre de ces deux postulats. La conséquence est double : d’abord, il semble impossible de déterminer pourquoi tel auteur de langue classique emploie en telle occasion la négation pleine plutôt que simple (ou l’inverse et il paraît même illégitime de poser la question en croyant pouvoir y répondre ; ensuite, la possibilité même d’une stylistique historique est invalidée par principe. Il convient donc d’examiner le problème sous un angle nouveau. En combinant, à l’échelle d’une œuvre aussi riche et diverse que les Pensées, différents niveaux d’analyse — statistique lexicale, relevés d’occurrences, étude de tous les cas particuliers (encore trop souvent regardés comme des exceptions — et en confrontant cette œuvre à des écrits de la même époque, on voit apparaître des options très marquées, des choix d’auteur, que ne paraît pas pouvoir expliquer seule la tendance dominante chez les locuteurs du temps, mais qui témoignent bien plutôt d’un véritable sentiment épilinguistique et de son corollaire que l’on pourrait appeler la conscience stylistique. Surtout, il devient possible d’affirmer avec un haut degré de certitude que l’opposition entre négation simple et négation pleine, quoique non théorisée, était perçue dès l’époque classique mais pas nécessairement (ou pas uniquement en termes de force et de renforcement, comme on aurait pu le penser. Les critères les plus opératoires semblent bien plutôt de nature sémantico-énonciative et argumentative.

  15. An Agent-Based Model of School Closing in Under-Vacccinated Communities During Measles Outbreaks.

    Science.gov (United States)

    Getz, Wayne M; Carlson, Colin; Dougherty, Eric; Porco Francis, Travis C; Salter, Richard

    2016-04-01

    The winter 2014-15 measles outbreak in the US represents a significant crisis in the emergence of a functionally extirpated pathogen. Conclusively linking this outbreak to decreases in the measles/mumps/rubella (MMR) vaccination rate (driven by anti-vaccine sentiment) is critical to motivating MMR vaccination. We used the NOVA modeling platform to build a stochastic, spatially-structured, individual-based SEIR model of outbreaks, under the assumption that R 0 ≈ 7 for measles. We show this implies that herd immunity requires vaccination coverage of greater than approximately 85%. We used a network structured version of our NOVA model that involved two communities, one at the relatively low coverage of 85% coverage and one at the higher coverage of 95%, both of which had 400-student schools embedded, as well as students occasionally visiting superspreading sites (e.g. high-density theme parks, cinemas, etc.). These two vaccination coverage levels are within the range of values occurring across California counties. Transmission rates at schools and superspreading sites were arbitrarily set to respectively 5 and 15 times background community rates. Simulations of our model demonstrate that a 'send unvaccinated students home' policy in low coverage counties is extremely effective at shutting down outbreaks of measles.

  16. 网民对“人祸”事件的道德情绪特点--基于微博大数据研究%The characteristics of moral emotions of Chinese netizens towards an anthropogenic hazard:A sentiment analysis on Weibo

    Institute of Scientific and Technical Information of China (English)

    叶勇豪; 许燕; 朱一杰; 梁炯潜; 兰天; 于淼

    2016-01-01

    本研究采用大数据研究方法,对爬取的“动车事故”发生后40天内的94,562条相关微博进行情感分析,以探讨网民对“人祸”的道德情绪特点,同时对不同群体情绪表达差异进行探讨。结果发现:(1)网民对于动车事故主要表达的道德情绪有:愤怒、鄙视、厌恶、同情和爱。(2)包含不同道德基础的事件与不同的道德情绪相关联;(3)对于愤怒、厌恶和鄙视,男性普遍有更高的表达倾向和表达强度,而女性更倾向于表达爱和同情且强度更高;(4)对于爱和同情,团体VIP用户组表达的可能性和强度都高于其他用户;个体VIP用户比非VIP用户更可能表达愤怒、鄙视和厌恶,而团体VIP用户表达这类情绪的强度最小。研究表明,虚拟网络中人们道德情绪特点依然符合道德基础理论;不同群体在表达道德情绪时的差异性是对道德基础理论相关研究的补充。总言之,数据挖掘技术和情感分析方法是进行情绪研究的有效手段。%Weibo provides its users a cyber platform to share opinions and show their emotions towards issues at home and abroad. In the process, massive amounts of data are made, and becomes the raw material for sentiment analysis. Previous studies in related fields of computer science and communication focused mainly on developing better sentiment analysis techniques to analyze basic emotions. To add a new perspective, this paper focused on studying the moral emotions expressed toward the “7.23 Wenzhou Train Collision” by Chinese netizens on Weibo. In particular, we analyzed the frequencies of different moral emotions expressed, and related them to the temporal occurrence of different moral events (e.g., statements made by the authority or victims that have moral implications) in the aftermath of the collision, and how different patterns of moral emotions were expressed by different groups including male and female, VIP and non-VIP users

  17. Bags Under Eyes

    Science.gov (United States)

    Bags under eyes Overview Bags under eyes — mild swelling or puffiness under the eyes — are common as you age. With aging, the tissues around your ... space below your eyes, adding to the swelling. Bags under eyes are usually a cosmetic concern and ...

  18. Solidarity under Attack

    DEFF Research Database (Denmark)

    Meret, Susi; Goffredo, Sergio

    2017-01-01

    https://www.opendemocracy.net/can-europe-make-it/susi-meret-sergio-goffredo/solidarity-under-attack......https://www.opendemocracy.net/can-europe-make-it/susi-meret-sergio-goffredo/solidarity-under-attack...

  19. PET's indsats under lup

    DEFF Research Database (Denmark)

    Hansen, Peer Henrik

    2006-01-01

    En undersøgelseskommission nedsat i 1999. Fem medlemmer skal undersøge PET's efterretningsvirksomhed i forhold til politiske partier, faglige konflikter og politisk ideologiske bevægelser i Danmark under den kolde krig. Kommissionens rapport forventes færdig næste år. Udgivelsesdato: 2. juli 2006...

  20. Creativity under the Gun.

    Science.gov (United States)

    Amabile, Teresa M.; Hadley, Constance N.; Kramer, Steven J.

    2002-01-01

    Although many employers think that people are most creative when under time pressure, research indicates that the opposite is true. Data from 177 employees' diaries showed that creative thinking under extreme time pressure is unlikely when people feel on a treadmill or on autopilot; more likely when they feel they are on an expedition or a…

  1. Undersøgelse

    DEFF Research Database (Denmark)

    Hansen, Ernst Albin

    2010-01-01

    Cykelryttere får for lidt energidrik - og det koster dyrt på de lange distancer. Opsigtsvækkende resultater fra en ny undersøgelse afslører at væske- og energiindtaget under langvarig cykling har stor betydning for præstationen....

  2. Flexicurity under afvikling?

    DEFF Research Database (Denmark)

    Schmidt, Johannes Dragsbæk; Crumlin, Jens Voldby

    2009-01-01

    Flexicurity-strategien er under angreb fra højrefløjen - mens Socialdemokrater og fagbevægelse er lammet Udgivelsesdato: 10 marts......Flexicurity-strategien er under angreb fra højrefløjen - mens Socialdemokrater og fagbevægelse er lammet Udgivelsesdato: 10 marts...

  3. Krigsfanger under 1. Verdenskrig

    DEFF Research Database (Denmark)

    Krabbe Meyer, Mette Kia

    2016-01-01

    Hvem er de små uniformerede mænd, der stavrer ud af skovbrynet? Nogle med krykker, andre med sygeplejersker eller nydeligt klædte kvinder under armen? Det er krigsfanger, der under 1. Verdenskrig, blev sendt til Danmark for at blive restitueret. Krigsfangelejrene skulle understøtte Danmarks status...

  4. Brazilian reactors under safeguards

    International Nuclear Information System (INIS)

    1967-01-01

    Three nuclear reactors in Brazil have been placed under Agency safeguards against diversion to military use. They are used for research purposes under a bilateral treaty with the USA, and are located at Rio de Janeiro, Sao Paulo and Belo Horizonte

  5. Alloys under irradiation

    International Nuclear Information System (INIS)

    Martin, G.; Bellon, P.; Soisson, F.

    1997-01-01

    During the last two decades, some effort has been devoted to establishing a phenomenology for alloys under irradiation. Theoretically, the effects of the defect supersaturation, sustained defect fluxes and ballistic mixing on solid solubility under irradiation can now be formulated in a unified manner, at least for the most simple cases: coherent phase transformations and nearest-neighbor ballistic jumps. Even under such restrictive conditions, several intriguing features documented experimentally can be rationalized, sometimes in a quantitative manner and simple qualitative rules for alloy stability as a function of irradiation conditions can be formulated. A quasi-thermodynamic formalism can be proposed for alloys under irradiation. However, this point of view has limits illustrated by recent computer simulations. (orig.)

  6. Survival pathways under stress

    Indian Academy of Sciences (India)

    First page Back Continue Last page Graphics. Survival pathways under stress. Bacteria survive by changing gene expression. pattern. Three important pathways will be discussed: Stringent response. Quorum sensing. Proteins performing function to control oxidative damage.

  7. Destructive distillation under pressure

    Energy Technology Data Exchange (ETDEWEB)

    1932-09-08

    A process of destructive distillation of distillable carbonaceous material under pressure is described, consisting of regulating the temperature by introducing the carbonaceous materials to a point where the reaction of hydrogenation has begun but has not stopped, by placing it in indirect heat-exchange with a cooling agent at a critical temperature below the reaction temperature, the agent being under pressure and introduced in the liquid state. Water is used as the cooling agent.

  8. Liver biopsy under hypnosis.

    Science.gov (United States)

    Adams, P C; Stenn, P G

    1992-09-01

    Two patients underwent outpatient percutaneous liver biopsy under hypnosis without complications. One patient had severe anxiety about the procedure because of a previous adverse experience with liver biopsy and the other had a history of severe allergy to local anesthesia. Both patients had undergone a session of hypnosis at least once prior to the biopsy. One received no local anesthetic and the other received 1% lidocaine as a local anesthetic. Both patients were completely cooperative during the procedure with the required respiratory maneuvers. Both patients stated that they were aware of the procedure under hypnosis but described no pain and would be most willing to have the procedure done under hypnosis in the future. Hypnosis can be a useful method of preparing carefully selected patients for percutaneous liver biopsy.

  9. Danmark under overfladen

    DEFF Research Database (Denmark)

    Hjorth, M.; Danø, R.

    "Danmark under overfladen" er et nyt undervisningstilbud til de danske skoler. På Internettet, www.danmarkunderoverfladen.dk kan man downloade grundbogen og fire andre temahæfter, samt se film og løse opgaver. "Danmark under overfladen" henvender sig til alle som er interesseret i havbiologi, men...... som undervisningsmateriale retter bogen sig særligt til de ældste klasser i folkeskolen og til det naturfaglige grundforløb i gymnasiet. Denne bog starter med at introducere den naturvidenskabelige arbejdsmetode i kapitel 1. Det er en tankegang som man må gå ind på,...

  10. Equity valuation : Under Armour

    OpenAIRE

    Vicente, António Rafael Mendes

    2016-01-01

    The present dissertation aims to value Under Armour, an American sportswear company. Since Valuation is not an exact science, during the literature review will be presented several valuation methods. Most of the authors mention DCF Valuation as one of the best but it seems impossible for them to reach a consensus about which one is in fact the best. In order to get Under Armour’s target price, a DCF valuation will be made and accompanied by a Relative Valuation that, when it is properly us...

  11. [Cultural Identity, social health, and the Social State Under the rule of law. The case of "The Quimbaya Treasure". Quindío, Colombia].

    Science.gov (United States)

    Robledo-Martínez, Felipe A

    2015-07-01

    We approach the concept of "cultural identity" as a cohesive element within a group in the context of history and territory. We posit the relationship between this cultural identity with symbols of affiliation and origin, such as archeological heritage; in this case "The Quimbaya Treasure". We present "social health" as the capacity of a community, immersed in a culture and a territory, to relate healthily and cherish sentiments of support and trust. Rudiments of identity such as ancestral legacies allow for the creation of feelings of "sociocultural belonging" and self-determination of peoples that take paret in the health of a society. The autonomy of peoples and the recognition of their diversity appear in the notion of Nation State and Social State Under the Rule of Law. In this document, it is argued that, though the construction of this state was a political task, the edification of the nation was not. This edification was the result of earlier cultural labor. Nevertheless, historical rights are reflected in established constitutions. The Quimbaya Treasure was donated to Spain as part of Colombia's participation in ceremonies commemorating the 400th anniversary of the "Discovery of the Americas". This essay documents the legislative acts that prove the inconstitutionality of that donation and, as a result, the treasure's possible repatriation. It places emphasis on the importance of the repatriation given the value it possesses as an agent of cultural identity for Colombians in general and the residents of Quindío in particular.

  12. Humanisme under pres

    DEFF Research Database (Denmark)

    Etemadi, Maziar Haghpaidar

    2006-01-01

    TRO: Humanismen og dens grundidé om menneskets værdighed og idealet om verdslighed, som siden renæssancen - med få undtagelser - har været den dominerende tendens i Europa, er under pres fra tilstedeværelsen af militant islam, Vatikan-aktivister inden for EU og genvalget af en new born kristen...

  13. Autosub under ice

    OpenAIRE

    Griffiths, G.

    2005-01-01

    Autosub made headlines recently when it became trapped under 200m of ice in Antarctica.Here we explore the ideas behind the £5.86 million research programme, and look back at an earlier expedition which took place last summer off the coast of Greenland.

  14. Privatisering. Diplomatiet under forvandling

    DEFF Research Database (Denmark)

    Adler-Nissen, Rebecca

    2008-01-01

    Det traditionelle diplomati er under voldsom forvandling. Det erstattes i stigende grad af en aktiv markedsføring af nationen, og nu er Danmark er også kommet med på bølgen. Med den seneste finanslov har Udenrigsministeriet afsat 7,7 mio. kroner om året frem til 2010 til at pleje Danmarks image g...

  15. Plants under dual attack

    NARCIS (Netherlands)

    Ponzio, C.A.M.

    2016-01-01

    Though immobile, plants are members of complex environments, and are under constant threat from a wide range of attackers, which includes organisms such as insect herbivores or plant pathogens. Plants have developed sophisticated defenses against these attackers, and include chemical responses

  16. Under-Five Mortality

    African Journals Online (AJOL)

    under-five mortality rate (U5MR) by two thirds between. 1990 and 2015. For Zambia, this means ... 1Institute of Economic and Social Research, University of Zambia ... live births;. 2. Neonatal mortality: Deaths during the first 28 days of life. 3. Post-neonatal ... children born/woman) and rapid (3%) population growth on living ...

  17. Care profession under change

    DEFF Research Database (Denmark)

    Rask Eriksen, Tine; Engel, Lisbeth Vinberg; Vedsegaard, Helle

    Backgound and aims: Sygeplejerskemanglen i Danmark er stor. Udfordringerne består i disse år i at rekruttere og fastholde sygeplejestuderende i studiet. Hensigten med projektet er dels at undersøge hvilke livshistoriske omsorgsforudsætninger, de studerende møder med i uddannelsen og dels at beskr...

  18. Valuation relationships under growth

    OpenAIRE

    Benavides Franco, Julián

    2003-01-01

    One of the most important topics on valuation is the appropriate relationships between cash flows and rate of returns. I review those relationships under the premise, by Myers (1974), of the cost of debt as the right discount for the tax shield. Different hypotheses have been advanced for the tax shield risk, each one producing different valuation results, especially when growth is present. The consequences of some common mistakes on valuation are explored. One difference between the results ...

  19. Krypton oxides under pressure

    OpenAIRE

    Zaleski-Ejgierd, Patryk; Łata, Paweł

    2015-01-01

    Under high pressure, krypton, one of the most inert elements is predicted to become sufficiently reactive to form a new class of krypton compounds; krypton oxides. Using modern ab-initio evolutionary algorithms in combination with Density Functional Theory, we predict the existence of several thermodynamically stable Kr/O species at elevated pressures. In particular, our calculations indicate that at approx. 300?GPa the monoxide, KrO, should form spontaneously and remain thermo- and dynamical...

  20. Decision Making Under Uncertainty

    Science.gov (United States)

    2010-11-01

    A sound approach to rational decision making requires a decision maker to establish decision objectives, identify alternatives, and evaluate those...often violate the axioms of rationality when making decisions under uncertainty. The systematic description of such observations may lead to the...which leads to “anchoring” on the initial value. The fact that individuals have been shown to deviate from rationality when making decisions

  1. A Dynamic Economic Model with Discrete Time and Consumer Sentiment

    Directory of Open Access Journals (Sweden)

    L. I. Dobrescu

    2009-01-01

    is replaced by a (quasi periodic motion. We associate the difference stochastic equation to the model by randomizing the control parameter d and by adding one stochastic control. Numerical simulations are made for the deterministic and stochastic models, for different values of the control parameter d.

  2. Fuzzy-Set Based Sentiment Analysis of Big Social Data

    DEFF Research Database (Denmark)

    Mukkamala, Raghava Rao; Hussain, Abid; Vatrapu, Ravi

    2014-01-01

    Computational approaches to social media analytics are largely limited to graph theoretical approaches such as social network analysis (SNA) informed by the social philosophical approach of relational sociology. There are no other unified modelling approaches to social data that integrate...... the conceptual, formal, software, analytical and empirical realms. In this paper, we first present and discuss a theory and conceptual model of social data. Second, we outline a formal model based on fuzzy set theory and describe the operational semantics of the formal model with a real-world social data example...... from Facebook. Third, we briefly present and discuss the Social Data Analytics Tool (SODATO) that realizes the conceptual model in software and provisions social data analysis based on the conceptual and formal models. Fourth, we use SODATO to fetch social data from the facebook wall of a global brand...

  3. Dynamics of Variance Risk Premia, Investors' Sentiment and Return Predictability

    DEFF Research Database (Denmark)

    Rombouts, Jerome V.K.; Stentoft, Lars; Violante, Francesco

    We develop a joint framework linking the physical variance and its risk neutral expectation implying variance risk premia that are persistent, appropriately reacting to changes in level and variability of the variance and naturally satisfying the sign constraint. Using option market data and real...... events and only marginally by the premium associated with normal price fluctuations....

  4. Chorégraphie sentimentale. Coreografía sentimental

    Directory of Open Access Journals (Sweden)

    Claude Murcia

    2012-04-01

    Full Text Available Sagitario (2001, film à la fois enjoué et mélancolique, présente une structure «mosaïque» qui substitue à la hiérarchisation des événements selon une logique causale la restitution d’un «état du monde». L’arbitraire de la contiguïté spatiale se joint à l’ubiquité énonciative pour construire un monde dominé par la discontinuité et l’inconstance. A l’éclatement structurel et à la dispersion du récit correspond la vision d’un sujet changeant et multiple qui semble mettre en échec tout principe de continuité malgré le recours –qu’on peut penser plaisamment générique– au «happy ending».Sagitario (2001 de Vicente Molina, película a la vez alegre y melan-cólica, presenta una estructura «mosaica» que frente a la jerar-quización de los hechos según una lógica causal, se sustituye por un «estado del mundo». La arbitra-riedad de la contigüidad espacial se une a la ubicuidad enunciativa para construir un mundo dominado por la discontinuidad y la inconstancia. A la ruptura estructural y a la dispersión del relato corresponde la visión de un sujeto cambiante y múltiple que parece derrotar todo principio de continuidad a pesar del recurso –que puede uno suponer lúdicamente genérico– al «happy end».

  5. Online Health Search Experience: Sentiments from South East Asia

    Directory of Open Access Journals (Sweden)

    Anushia Inthiran

    2016-12-01

    Full Text Available Performing an online health search is a popular activity conducted on the Internet. Research studies from developed countries provide information on source used, type of search performed and devices used to perform the search. However, the same cannot be said about the online health information searching scene in South East Asia. Online health information searching is gaining popularity in South East Asia. Citizens in these countries are turning to the Internet to obtain health information quickly. Current research studies pertaining to online health information searching in South East Asian is limited, particularly relating to search experiences of South East Asian health searchers. Search experience is pertinent asit could deter or encourage the possibility of conducting future health searches. In this research study, a user study was conducted to describe the online search experience of South East Asian health searchers. A face to face interview with 50 participants was conducted. The interview was audio recorded and transcribed verbatim. Results indicate participants have positive and negative search experiences. In some cases, post search outcomes influenced the search experience. Results of this research study contribute to the growing domain of knowledge in relation to online health information searching. Results of this study also provide an understanding pertaining to the search experience of South East Asian online health searchers.

  6. [Ritualistic female genital mutilation. The sentiment of the women].

    Science.gov (United States)

    Allag, F; Abboud, P; Mansour, G; Zanardi, M; Quéreux, C

    2001-11-01

    Female genital mutilation (FGM) is considered as the most dangerous custom still ritually practiced and 2 million girls undergo the ordeal each year. This practice is anchored and fixed firmly in numerous African people's culture and Western countries are confronted to it through African immigrants. In order to understand the justifications and the consequences of FGM we interviewed 14 genitally mutilated African women living in France. Unfortunately and despite the conscious knowledge of consequences and absurd side of such practice, yet it seems to be perpetuated over the descendants. Educational approach is the best solution to fight female genital mutilation fixed firmly in numerous African people's culture.

  7. Visualizing Host-Nation Sentiment at the Tactical Edge

    Science.gov (United States)

    2014-06-01

    HUMINT) and open source intelligence ( OSINT ) become prioritized above more traditional intelligence based on signals (SIGINT) and electronic sources...reliance on HUMINT and OSINT . Soldiers as peacekeepers must manage multiple information assets and resources, often relying on local and international

  8. Learning Explainable User Sentiment and Preferences for Information Filtering

    OpenAIRE

    Pappas, Nikolaos

    2016-01-01

    In the last decade, online social networks have enabled people to interact in many ways with each other and with content. The digital traces of such actions reveal people's preferences towards online content such as news or products. These traces often result from interactions such as sharing or liking, but also from interactions in natural language. The continuous growth of the amount of content and of digital traces has led to information overload: surrounded by large volumes of informatio...

  9. Mathematically Gifted Adolescent Females' Mixed Sentiment toward Gender Stereotypes

    Science.gov (United States)

    Kao, Chen-yao

    2015-01-01

    There has been a paucity of research on gifted individuals' perceptions of gender stereotypes. The purpose of this study was to explore mathematically gifted adolescent females' perceptions of gender stereotypes through a research design of the qualitative multiple case study involving the constant comparison and the Three C's analysis scheme.…

  10. Assessing Anti-American Sentiment Through Social Media Analysis

    Science.gov (United States)

    2016-12-01

    165 Yuri Kageyama, “Twitter Takes Off in Japan – Social Network Changes Nation’s Internet Culture,” Journal - Gazette, July 4, 2010, http...military shows of force in and around Japan . 14. SUBJECT TERMS anti-Americanism, Twitter, social media analysis; drone strike; Pakistan, UAV...hypothesizes that social media analysis, specifically analysis of messages sent through the Twitter network , can be used to gauge the overall

  11. Facebook and Twitter vaccine sentiment in response to measles outbreaks.

    Science.gov (United States)

    Deiner, Michael S; Fathy, Cherie; Kim, Jessica; Niemeyer, Katherine; Ramirez, David; Ackley, Sarah F; Liu, Fengchen; Lietman, Thomas M; Porco, Travis C

    2017-11-01

    Social media posts regarding measles vaccination were classified as pro-vaccination, expressing vaccine hesitancy, uncertain, or irrelevant. Spearman correlations with Centers for Disease Control and Prevention-reported measles cases and differenced smoothed cumulative case counts over this period were reported (using time series bootstrap confidence intervals). A total of 58,078 Facebook posts and 82,993 tweets were identified from 4 January 2009 to 27 August 2016. Pro-vaccination posts were correlated with the US weekly reported cases (Facebook: Spearman correlation 0.22 (95% confidence interval: 0.09 to 0.34), Twitter: 0.21 (95% confidence interval: 0.06 to 0.34)). Vaccine-hesitant posts, however, were uncorrelated with measles cases in the United States (Facebook: 0.01 (95% confidence interval: -0.13 to 0.14), Twitter: 0.0011 (95% confidence interval: -0.12 to 0.12)). These findings may result from more consistent social media engagement by individuals expressing vaccine hesitancy, contrasted with media- or event-driven episodic interest on the part of individuals favoring current policy.

  12. Assessing Sentiment In Conflict Zones Through Social Media

    Science.gov (United States)

    2016-12-01

    polling and social media data, utilizing over 1.4 million geo-referenced messages sent through the Twitter network from Yemen over the period from...a difficult test country. Compared to Western countries, Yemen has low levels of Internet access and social media users. The country is also beset...consisted of over 1.4 million tweets, observed in Yemen over the period October 2013 to January 2014. From our research we conclude that social media

  13. Multi-Language Sentiment Analysis for Hotel Reviews

    Directory of Open Access Journals (Sweden)

    Sodanil Maleerat

    2016-01-01

    Full Text Available Touristes and traveler use avariety of information sources (e.g. travelportals, blogs, or social networking sites like twitter to help them decide for a hotel room. These sources all contain highly subjective text that expresses the opinions of many. We took a preliminary view on user generated hotel reviews from two travel portals in English and Thai. We developed a taxonomy of features and specifically investigated how accurately they can be predicted with three classification methods. The results indicate that support vector machines perform best for this specific domain.

  14. Movement Before Cinematography: The High-Speed Qualities of Sentiment

    OpenAIRE

    Canales, Jimena

    2006-01-01

    Cinematography, and the philosophical critiques it inspired, has come to represent modernity. The 19th century ended with reduced photographic time exposures. The 20th century began by marking itself on a new cinematographic strip. Yet by examining more carefully these narratives of modernity it becomes clear that much falls between cinematographic frames, into its framelines. In particular, non-cinematographic philosophies of time and movement are erased from view. This article inquires into...

  15. Le discours amoureux du Colloque sentimental de Verlaine

    Directory of Open Access Journals (Sweden)

    Cristina Ilinca

    2007-05-01

    Full Text Available L’univers de Paul Verlaine n’est pas vaste, mais il est assez contradictoire. L’originalité de la poésie verlainienne consiste en la manière dont les tons contrastés de gaieté, de mélancolie, d’innocence et de sensualisme se combinent. Les états d’âme -plaisirs, joie, remords, mélancolie- se mêlent aux paysages naturels - clairs de lune, soleils couchants- et donnent naissance aux « tableaux d’âme » si caractéristiques du symbolisme.

  16. Moral sentiments and cooperation: Differential influences of shame and guilt

    NARCIS (Netherlands)

    Hooge, de I.E.; Zeelenberg, M.; Breugelmans, S.M.

    2007-01-01

    For centuries economists and psychologists (Frank, 1988; Ketelaar, 2004; Smith, 1759) have argued that moral emotions motivate cooperation. Ketelaar and Au (2003) recently found first evidence that guilt increases cooperation for proselfs in social bargaining games. We investigated whether this

  17. Sentiment Analysis: A Perspective on its Past, Present and Future

    OpenAIRE

    Teeja Mary Sebastian; Akshi Kumar

    2012-01-01

    Abstract—The proliferation of Web-enabled devices, including desktops, laptops, tablets, and mobile phones, enables people to communicate, participate and collaborate with each other in various Web communities, viz., forums, social networks, blogs. Simultaneously, the enormous amount of heterogeneous data that is generated by the users of these communities, offers an unprecedented opportunity to create and employ theories & technologies that search and retrieve relevant data from the huge qua...

  18. [Man and his fellow-creatures under ethical aspects].

    Science.gov (United States)

    Teutsch, Gotthard M

    2005-01-01

    It is for reasons of age I will have to terminate my work at the Literary Review in the form developed since 1995. The report is being reduced to a concentration of ethically relevant reviews as exemplified in the fourth-quarter issue of ALTEX. This is to ascertain that essential developments in this field will not be overlooked. Insofar, the Literary Review will be continued under the heading "New literature concerning topics of animal ethics". The more central topics of animal ethics are being "used up" the more new questions are being formulated. Thus it was that during the last few years the plant-world, long neglected, was rediscovered and received attention through the publication of important works. Another recent discovery concerns itself with "cognitive ethology" which developed out of the critique of behaviourism and which is dealt with in a separate chapter in this issue. But there is also a "classic" of ethics who has been reviewed and interpreted anew repeatedly. In her book "Albert Schweitzer, a prophet of medical ethics", Heike Baranzke describes Schweitzer's ethics as not sentimental or nostalgic but rather as a radically modern stance, committed to the enlightenment. Manuel Schneider, also, conveys a comprehensive view of Albert Schweitzer's ethics in "Life in the middle of life - the relevance of the ethics of Albert Schweitzer", a book edited by Altner, Frambach, Gottwald and himself in 2005. For this, in particular, he derives a possibility of a physiocentric ethics. By contrast, Beate Weinzierl approaches Schweitzer on a complete personal and human level in "Yearning for nature - access to inner and outer nature with Albert Schweitzer". Wolfgang Senz is undertaking a critical appreciation of Albert Schweitzer's concept of "life" and this, foremost, in the light of Schweitzer's rejection of the Cartesian "I am". In the end, Jean Claude Wolf cannot manage without citing Schweitzer either, referring to him in his not accepting the (western) world

  19. Optimizing production under uncertainty

    DEFF Research Database (Denmark)

    Rasmussen, Svend

    This Working Paper derives criteria for optimal production under uncertainty based on the state-contingent approach (Chambers and Quiggin, 2000), and discusses po-tential problems involved in applying the state-contingent approach in a normative context. The analytical approach uses the concept...... of state-contingent production functions and a definition of inputs including both sort of input, activity and alloca-tion technology. It also analyses production decisions where production is combined with trading in state-contingent claims such as insurance contracts. The final part discusses...

  20. Krypton oxides under pressure.

    Science.gov (United States)

    Zaleski-Ejgierd, Patryk; Lata, Pawel M

    2016-02-02

    Under high pressure, krypton, one of the most inert elements is predicted to become sufficiently reactive to form a new class of krypton compounds; krypton oxides. Using modern ab-initio evolutionary algorithms in combination with Density Functional Theory, we predict the existence of several thermodynamically stable Kr/O species at elevated pressures. In particular, our calculations indicate that at approx. 300 GPa the monoxide, KrO, should form spontaneously and remain thermo- and dynamically stable with respect to constituent elements and higher oxides. The monoxide is predicted to form non-molecular crystals with short Kr-O contacts, typical for genuine chemical bonds.

  1. Evaporation under vacuum condition

    International Nuclear Information System (INIS)

    Mizuta, Satoshi; Shibata, Yuki; Yuki, Kazuhisa; Hashizume, Hidetoshi; Toda, Saburo; Takase, Kazuyuki; Akimoto, Hajime

    2000-01-01

    In nuclear fusion reactor design, an event of water coolant ingress into its vacuum vessel is now being considered as one of the most probable accidents. In this report, the evaporation under vacuum condition is evaluated by using the evaporation model we have developed. The results show that shock-wave by the evaporation occurs whose behavior strongly depends on the initial conditions of vacuum. And in the case of lower initial pressure and temperature, the surface temp finally becomes higher than other conditions. (author)

  2. Social Discounting under Risk.

    Science.gov (United States)

    Jin, Jia; Pei, Guanxiong; Ma, Qingguo

    2017-01-01

    As a measure of how prosocial behavior depends on social distance, social discounting is defined as the decrease in generosity between the decision maker and the recipient as the social distance increases. While risk is a ubiquitous part of modern life, there is limited research on the relationship between risk and prosocial behavior. In the present experiment, we empirically test whether risk has an influence on social discounting. We use the choice titration procedure to examine this effect. Our data show that independent of risk, participants are less eager to forego money and exhibit more selfishness toward a specific person when the social distance increases; these findings are reflected in the hyperbolic model. Interestingly, risk influences the shape of the social discounting function, which is reflected in the notable different discount rates. Individuals who make decisions under risk yield a smaller discount rate than those who make decisions without risk, i.e., under risk subjects reduce less their generosity as a function of the social distance. Furthermore, this distinct type of generosity occurs typically among individuals with 10-distance recipients but not with the closest- and furthest-social-distance recipients.

  3. Intercrops under coconut plantations

    International Nuclear Information System (INIS)

    Mahmud, Z.

    1998-01-01

    The successes of growing intercrops under coconut plantations are controlled by environmental factors which are influenced by the coconut growth and characters, interception of solar radiation, as well as the coconut space and system of planting. Assuming that soil fertility be able to be manipulated by certain treatments, then climatic factors become priority to be considered for selection of intercrops. Coconut palms grow well on areas of 500 m asl., 27-32 deg. C temperature, and 1,500-3,000 mm in annual rainfall with even distribution throughout the year. Each kind (tall, dwarf, hybrid) of coconut performs specific growth characters, mainly on its root system and canopy coverage, as well as general conditions due to its growth phase (young, productive, senile). Above such conditions greatly influence the kind of crops suitable for development under coconut trees. However space and system of coconut planting give various conditions of interception solar radiation to ground surface, which means by manipulating both space and system, environmental requirement is able to be achieved accordingly [in

  4. City under the Ice

    DEFF Research Database (Denmark)

    Nielsen, Kristian Hvidtfelt

    : The public image of Camp Century was one of technological comfort and military-scientific control. Amidst the raging Cold War and up against the harsh environment, the construction of the camp would prove to the public that the combined forces of the US military-technology-science complex would prevail......This paper uses Paul Edwards’ closed world metaphor to understand US involvement in Greenland during the Cold War. Closed worlds mark military-techno-scientific geographies of conflict: They refer to sealed techno-spaces of observation, containment, and control, but also to the settings in which....... However, the military logic of Camp Century was self-referential and closed in the sense that the very idea of constructing the city under ice emerged from Cold War strategy. The closed world of Camp Century established a temporary boundary between, on the one hand, the comfortable space controlled by US...

  5. Attractors under discretisation

    CERN Document Server

    Han, Xiaoying

    2017-01-01

    This work focuses on the preservation of attractors and saddle points of ordinary differential equations under discretisation. In the 1980s, key results for autonomous ordinary differential equations were obtained – by Beyn for saddle points and by Kloeden & Lorenz for attractors. One-step numerical schemes with a constant step size were considered, so the resulting discrete time dynamical system was also autonomous. One of the aims of this book is to present new findings on the discretisation of dissipative nonautonomous dynamical systems that have been obtained in recent years, and in particular to examine the properties of nonautonomous omega limit sets and their approximations by numerical schemes – results that are also of importance for autonomous systems approximated by a numerical scheme with variable time steps, thus by a discrete time nonautonomous dynamical system.

  6. Gelation under shear

    Energy Technology Data Exchange (ETDEWEB)

    Butler, B.D.; Hanley, H.J.M.; Straty, G.C. [National Institute of Standards and Technology, Boulder, CO (United States); Muzny, C.D. [Univ. of Colorado, Boulder, CO (United States)

    1995-12-31

    An experimental small angle neutron scattering (SANS) study of dense silica gels, prepared from suspensions of 24 nm colloidal silica particles at several volume fractions {theta} is discussed. Provided that {theta}{approx_lt}0.18, the scattered intensity at small wave vectors q increases as the gelation proceeds, and the structure factor S(q, t {yields} {infinity}) of the gel exhibits apparent power law behavior. Power law behavior is also observed, even for samples with {theta}>0.18, when the gel is formed under an applied shear. Shear also enhances the diffraction maximum corresponding to the inter-particle contact distance of the gel. Difficulties encountered when trying to interpret SANS data from these dense systems are outlined. Results of computer simulations intended to mimic gel formation, including computations of S(q, t), are discussed. Comments on a method to extract a fractal dimension characterizing the gel are included.

  7. Decision making under uncertainty

    International Nuclear Information System (INIS)

    Cyert, R.M.

    1989-01-01

    This paper reports on ways of improving the reliability of products and systems in this country if we are to survive as a first-rate industrial power. The use of statistical techniques have, since the 1920s, been viewed as one of the methods for testing quality and estimating the level of quality in a universe of output. Statistical quality control is not relevant, generally, to improving systems in an industry like yours, but certainly the use of probability concepts is of significance. In addition, when it is recognized that part of the problem involves making decisions under uncertainty, it becomes clear that techniques such as sequential decision making and Bayesian analysis become major methodological approaches that must be utilized

  8. A life under pressure

    DEFF Research Database (Denmark)

    Jacobsen, Jens Christian Brings; von Holstein-Rathlou, Niels-Henrik

    2012-01-01

    Microvessels live 'a life under pressure' in several ways. In a literal sense, vessels of the microcirculation are exposed to high levels of stress caused primarily by the intravascular pressure head. In a figurative sense, the individual vessel and the microvascular network as a whole must...... continuously strive to meet the changing demands of the surrounding tissue. The 'principle of optimal operation' as formulated by Y. C. Fung states that living tissues adapts structurally through remodelling and growth until a level of tensile and compressive stresses is reached at which tissue performance...... stress component has a huge impact on the state of the vascular wall. It is involved as a unifying factor on vastly different timescales in processes as diverse as acute regulation of vessel diameter, structural vessel remodelling and growth or atrophy of the vascular wall. The aim of this Mini...

  9. Stigmatized ethnicity, public health, and globalization.

    Science.gov (United States)

    Ali, S Harris

    2008-01-01

    The prejudicial linking of infection with ethnic minority status has a long-established history, but in some ways this association may have intensified under the contemporary circumstances of the "new public health" and globalization. This study analyzes this conflation of ethnicity and disease victimization by considering the stigmatization process that occurred during the 2003 outbreak of Severe Acute Respiratory Syndrome (SARS) in Toronto. The attribution of stigma during the SARS outbreak occurred in multiple and overlapping ways informed by: (i) the depiction of images of individuals donning respiratory masks; (ii) employment status in the health sector; and (iii) Asian-Canadian and Chinese-Canadian ethnicity. In turn, stigmatization during the SARS crisis facilitated a moral panic of sorts in which racism at a cultural level was expressed and rationalized on the basis of a rhetoric of the new public health and anti-globalization sentiments. With the former, an emphasis on individualized self-protection, in the health sense, justified the generalized avoidance of those stigmatized. In relation to the latter, in the post-9/11 era, avoidance of the stigmatized other was legitimized on the basis of perceiving the SARS threat as a consequence of the mixing of different people predicated by economic and cultural globalization.

  10. Undersøgelsesdesign

    DEFF Research Database (Denmark)

    Hansbøl, Mikala

    2014-01-01

    Delrapport fra LUG-projektet, delprojekt A - Uddannelsesinstitutionelle Grænser. I 2014 udvikler og forsker UCSJ og RUC i en gratis og fleksibel måde at udbyde uddannelse på, inspireret af flere universiteter i USA – via MOOCs (Multiple Open Online Courses). MOOC-projektet er en del af et større...... innovationsprojekt “Læring Uden Grænser” - støttet af den Den Europæiske Fond for Regionaludvikling. Projektet undersøger hvordan digitale teknologier og nye koblinger i form af netværk- og institutionssamarbejde kan mindske grænser for læring i Region Sjælland. Den næste år udvikles og udbydes en række MOOCs, der...... skal generere og formidle ny viden om, hvordan MOOCs kan udvikles på måder, så også regionale hensyn tages. Projektet arbejder designbaseret og der vil derfor gennem input fra brugere, partnere, arrangerede workshops, og lignende foregå en løbende redesignproces. Projektet vil munde ud i en række...

  11. Politics Under Electronic Simultaneity

    Directory of Open Access Journals (Sweden)

    Valery P. Terin

    2014-01-01

    Full Text Available In contradistinction to the book and the other typographic products, the electronic media operates on a 24-hour-a-day basis evoking simultaneity as the guiding mode of perception and thinking for all those under its influence. The discovery of this fact manifested itself in the formation and development of the managerial technologies operating by means of the electronic information environment and following the principle of simultaneity in the first place. Thus, at the end of the 1960s already the election campaigns in the U.S.A. began to operate on the basis of the final cause as the guiding principle of the country's mass consciousness motivating to carry out each particular event as if already rejoicing at the victory. With this in mind, there emerged a problem of applying this approach with its enormous managerial potential elsewhere. To add, simultaneity as a norm of perception and thinking turned out to be increasingly important with the advent of the electrical telegraph and the press relying on its short disconnected messages instantaneously arriving from all parts of the world. All the other media, which emerged in the wake of this development, has served to fortify this mode of thought as governing in the electronic information environment. The potential of the electronically operating global managerial technologies is quickly growing. The article also deals with the information overload and pattern recognition problem understood in managerial terms as well as mythologization and demythologization processes as they are necessitated by the electronic media coverage worldwide.

  12. WHn under pressure

    International Nuclear Information System (INIS)

    Zaleski-Ejgierd, Patryk; Ashcroft, N W; Labet, Vanessa; Hoffmann, Roald; Strobel, Timothy A

    2012-01-01

    An initial observation of the formation of WH under pressure from W gaskets surrounding hydrogen in diamond anvil cells led to a theoretical study of tungsten hydride phases. At P = 1 atm no stoichiometry is found to be stable with respect to separation into the elements, but as the pressure is raised WH n (n = 1-6, 8) stoichiometries are metastable or stable. WH and WH 4 are calculated to be stable at P > 15 GPa, WH 2 becomes stable at P > 100 GPa and WH 6 at P > 150 GPa. In agreement with experiment, the structure computed for WH is anti-NiAs. WH 2 shares with WH a hexagonal arrangement of tungsten atoms, with hydrogen atoms occupying octahedral and tetrahedral holes. For WH 4 the W atoms are in a distorted fcc arrangement. As the number of hydrogens rises, the coordination of W by H increases correspondingly, leading to a twelve-coordinated W in WH 6 . In WH 8 H 2 units also develop. All of the hydrides considered should be metallic at high pressure, though the Fermi levels of WH 4 and WH 6 lie in a deep pseudogap. Prodded by these theoretical studies, experiments were then undertaken to seek phases other than WH, exploring a variety of experimental conditions that would favor further reaction. Though a better preparation and characterization of WH resulted, no higher hydrides have as yet been found. (paper)

  13. Calibration Under Uncertainty.

    Energy Technology Data Exchange (ETDEWEB)

    Swiler, Laura Painton; Trucano, Timothy Guy

    2005-03-01

    This report is a white paper summarizing the literature and different approaches to the problem of calibrating computer model parameters in the face of model uncertainty. Model calibration is often formulated as finding the parameters that minimize the squared difference between the model-computed data (the predicted data) and the actual experimental data. This approach does not allow for explicit treatment of uncertainty or error in the model itself: the model is considered the %22true%22 deterministic representation of reality. While this approach does have utility, it is far from an accurate mathematical treatment of the true model calibration problem in which both the computed data and experimental data have error bars. This year, we examined methods to perform calibration accounting for the error in both the computer model and the data, as well as improving our understanding of its meaning for model predictability. We call this approach Calibration under Uncertainty (CUU). This talk presents our current thinking on CUU. We outline some current approaches in the literature, and discuss the Bayesian approach to CUU in detail.

  14. Memory dynamics under stress.

    Science.gov (United States)

    Quaedflieg, Conny W E M; Schwabe, Lars

    2018-03-01

    Stressful events have a major impact on memory. They modulate memory formation in a time-dependent manner, closely linked to the temporal profile of action of major stress mediators, in particular catecholamines and glucocorticoids. Shortly after stressor onset, rapidly acting catecholamines and fast, non-genomic glucocorticoid actions direct cognitive resources to the processing and consolidation of the ongoing threat. In parallel, control of memory is biased towards rather rigid systems, promoting habitual forms of memory allowing efficient processing under stress, at the expense of "cognitive" systems supporting memory flexibility and specificity. In this review, we discuss the implications of this shift in the balance of multiple memory systems for the dynamics of the memory trace. Specifically, stress appears to hinder the incorporation of contextual details into the memory trace, to impede the integration of new information into existing knowledge structures, to impair the flexible generalisation across past experiences, and to hamper the modification of memories in light of new information. Delayed, genomic glucocorticoid actions might reverse the control of memory, thus restoring homeostasis and "cognitive" control of memory again.

  15. RESTRUCTURING COMPANIES UNDER CRISIS

    Directory of Open Access Journals (Sweden)

    Hezi Aviram SHAYB

    2016-12-01

    Full Text Available Nobody is planning to fail, but many companies are failing because of lack of planning. Real business experience showed during the years that crisis can be prevented, avoided or limited. If detected in time, the risks associated with the crisis can be mitigated and the effects can be diminished, with the condition that the actions required are done fast, in a sharp and accurate manner. When it comes, a crisis brings an intense level of pressure and under these conditions there is no time or room for mistakes. Delays, losing focus and lack of planning will bring a company one step away from failure. The right way to deal with crisis, if required measures are not done in time, is to minimize the losses and reposition in the best way possible. Analysing the success stories of some of the biggest and strongest companies in the world, led to an important conclusion: the majority of these companies were in the situation to face huge crises which threatened their ability to survive in certain moments, on their way to success. With the right planning and by setting a proper organisational structure, the negative aspects of the crisis can be turned into benefits and opportunities for the company. The most critical challenge for management is to assess the level of exposure to risk of the company and identify the key points to focus on in order to overcome the crisis and create value. In order to set up a strong plan in dealing with crisis, a business organisation needs reliable, efficient and effective tools and this is what this article is all about.

  16. Strategy under uncertainty.

    Science.gov (United States)

    Courtney, H; Kirkland, J; Viguerie, P

    1997-01-01

    At the heart of the traditional approach to strategy lies the assumption that by applying a set of powerful analytic tools, executives can predict the future of any business accurately enough to allow them to choose a clear strategic direction. But what happens when the environment is so uncertain that no amount of analysis will allow us to predict the future? What makes for a good strategy in highly uncertain business environments? The authors, consultants at McKinsey & Company, argue that uncertainty requires a new way of thinking about strategy. All too often, they say, executives take a binary view: either they underestimate uncertainty to come up with the forecasts required by their companies' planning or capital-budging processes, or they overestimate it, abandon all analysis, and go with their gut instinct. The authors outline a new approach that begins by making a crucial distinction among four discrete levels of uncertainty that any company might face. They then explain how a set of generic strategies--shaping the market, adapting to it, or reserving the right to play at a later time--can be used in each of the four levels. And they illustrate how these strategies can be implemented through a combination of three basic types of actions: big bets, options, and no-regrets moves. The framework can help managers determine which analytic tools can inform decision making under uncertainty--and which cannot. At a broader level, it offers executives a discipline for thinking rigorously and systematically about uncertainty and its implications for strategy.

  17. Contextuality under weak assumptions

    International Nuclear Information System (INIS)

    Simmons, Andrew W; Rudolph, Terry; Wallman, Joel J; Pashayan, Hakop; Bartlett, Stephen D

    2017-01-01

    The presence of contextuality in quantum theory was first highlighted by Bell, Kochen and Specker, who discovered that for quantum systems of three or more dimensions, measurements could not be viewed as deterministically revealing pre-existing properties of the system. More precisely, no model can assign deterministic outcomes to the projectors of a quantum measurement in a way that depends only on the projector and not the context (the full set of projectors) in which it appeared, despite the fact that the Born rule probabilities associated with projectors are independent of the context. A more general, operational definition of contextuality introduced by Spekkens, which we will term ‘probabilistic contextuality’, drops the assumption of determinism and allows for operations other than measurements to be considered contextual. Even two-dimensional quantum mechanics can be shown to be contextual under this generalised notion. Probabilistic noncontextuality represents the postulate that elements of an operational theory that cannot be distinguished from each other based on the statistics of arbitrarily many repeated experiments (they give rise to the same operational probabilities) are ontologically identical. In this paper, we introduce a framework that enables us to distinguish between different noncontextuality assumptions in terms of the relationships between the ontological representations of objects in the theory given a certain relation between their operational representations. This framework can be used to motivate and define a ‘possibilistic’ analogue, encapsulating the idea that elements of an operational theory that cannot be unambiguously distinguished operationally can also not be unambiguously distinguished ontologically. We then prove that possibilistic noncontextuality is equivalent to an alternative notion of noncontextuality proposed by Hardy. Finally, we demonstrate that these weaker noncontextuality assumptions are sufficient to prove

  18. NGSS, disposability, and the ambivalence of science in/under neoliberalism

    Science.gov (United States)

    Weinstein, Matthew

    2017-12-01

    This paper explores the ambivalence of the Next Generation Science Standards (NGSS) and its Framework towards neoliberal governance. The paper examines the ways that the NGSS serves as a mechanism within neoliberal governance: in its production of disposable populations through testing and through the infusion of engineering throughout the NGSS to resolve social problems through technical fixes. However, the NGSS, like earlier standards, is reactionary to forces diminishing the power of institutional science (e.g., the AAAS) including neoliberal prioritizing market value over evidence. The NGSS explicitly takes on neoliberal junk science such as the anti-global-warming Heartland Institute.

  19. Regulating renewable resources under uncertainty

    DEFF Research Database (Denmark)

    Hansen, Lars Gårn

    ) that a pro-quota result under uncertainty about prices and marginal costs is unlikely, requiring that the resource growth function is highly concave locally around the optimum and, 3) that quotas are always preferred if uncertainly about underlying structural economic parameters dominates. These results...... showing that quotas are preferred in a number of situations qualify the pro fee message dominating prior studies....

  20. Advertisement Translation under Skopos Theory

    Institute of Scientific and Technical Information of China (English)

    严妙

    2014-01-01

    This paper is an analysis of advertisement translation under skopos theory.It is explained that the nature of advertisement translation under skopos theory is reconstructing the information of the source text to persuade target audience.Three translation strategies are put forward in translating advertisements.

  1. Maternal Concern for Child Undereating.

    Science.gov (United States)

    Brown, Callie L; Pesch, Megan H; Perrin, Eliana M; Appugliese, Danielle P; Miller, Alison L; Rosenblum, Katherine; Lumeng, Julie C

    To describe features of maternal concern for her child undereating; examine maternal and child correlates of maternal concern for undereating; and determine whether maternal concern for undereating is associated with feeding practices. This was a cross-sectional analysis of an observational study with 286 mother-child dyads (mean child age, 71 months). Maternal concern for undereating was assessed using a semistructured interview. Mothers completed questionnaires to assess picky eating, food neophobia, and feeding practices. Feeding practices were further assessed using videotaped mealtime observations. Logistic regression was used to assess the association of maternal and child characteristics with maternal concern for undereating. Regression was used to assess the association of maternal concern for undereating with feeding practices, controlling for covariates. Over a third of mothers (36.5%) expressed concern that their child does not eat enough. Correlates of concern for undereating included child body mass index z-score (BMIz; odds ratio [OR] = 0.58; 95% confidence interval [CI], 0.43-0.77) and picky eating (OR = 2.41; 95% CI, 1.26-4.59). Maternal concern for undereating was associated with greater reported pressure to eat (relative risk [RR] = 1.97; 95% CI, 1.55-2.50), greater observed bribery (OR = 2.63; 95% CI, 1.50-4.60), and higher observed pressure (OR = 1.90; 95% CI, 1.08-3.36) during mealtimes. Mothers of children who are picky eaters and have a lower BMIz are more likely to be concerned that their children do not eat enough, and maternal concern for undereating is associated with pressuring and bribing children to eat. Pediatricians might address maternal concern for undereating by advising feeding practices that do not involve pressure and bribery, particularly among healthy weight children. Copyright © 2016 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

  2. Refugee scientists under the spotlight

    Science.gov (United States)

    Extance, Andy

    2017-07-01

    Thousands of people are forced to flee war-torn regions every year, but the struggles of scientists who have to leave their homeland often goes under the radar. Andy Extance reports on initiatives to help

  3. Frivillig og under eget ansvar

    DEFF Research Database (Denmark)

    Bang, Karin

    2002-01-01

    Ifølge Lou Andreas-Salomé drejer flere af Henrik Ibsens dramaer sig om problemet med at skabe balance mellem selvbefrielse og selvbegrænsning, og nøgleordene er: Frivillig og under eget ansvar....

  4. Graphene cantilever under Casimir force

    Science.gov (United States)

    Derras-Chouk, Amel; Chudnovsky, Eugene M.; Garanin, Dmitry A.; Jaafar, Reem

    2018-05-01

    The stability of graphene cantilever under Casimir attraction to an underlying conductor is investigated. The dependence of the instability threshold on temperature and flexural rigidity is obtained. Analytical work is supplemented by numerical computation of the critical temperature above which the graphene cantilever irreversibly bends down and attaches to the conductor. The geometry of the attachment and exfoliation of the graphene sheet is discussed. It is argued that graphene cantilever can be an excellent tool for precision measurements of the Casimir force.

  5. Optimal Taxation under Income Uncertainty

    OpenAIRE

    Xianhua Dai

    2011-01-01

    Optimal taxation under income uncertainty has been extensively developed in expected utility theory, but it is still open for inseparable utility function between income and effort. As an alternative of decision-making under uncertainty, prospect theory (Kahneman and Tversky (1979), Tversky and Kahneman (1992)) has been obtained empirical support, for example, Kahneman and Tversky (1979), and Camerer and Lowenstein (2003). It is beginning to explore optimal taxation in the context of prospect...

  6. Sustaining dry surfaces under water

    DEFF Research Database (Denmark)

    Jones, Paul R.; Hao, Xiuqing; Cruz-Chu, Eduardo R.

    2015-01-01

    Rough surfaces immersed under water remain practically dry if the liquid-solid contact is on roughness peaks, while the roughness valleys are filled with gas. Mechanisms that prevent water from invading the valleys are well studied. However, to remain practically dry under water, additional...... mechanisms need consideration. This is because trapped gas (e.g. air) in the roughness valleys can dissolve into the water pool, leading to invasion. Additionally, water vapor can also occupy the roughness valleys of immersed surfaces. If water vapor condenses, that too leads to invasion. These effects have...... not been investigated, and are critically important to maintain surfaces dry under water.In this work, we identify the critical roughness scale, below which it is possible to sustain the vapor phase of water and/or trapped gases in roughness valleys – thus keeping the immersed surface dry. Theoretical...

  7. Residual Liquefaction under Standing Waves

    DEFF Research Database (Denmark)

    Kirca, V.S. Ozgur; Sumer, B. Mutlu; Fredsøe, Jørgen

    2012-01-01

    This paper summarizes the results of an experimental study which deals with the residual liquefaction of seabed under standing waves. It is shown that the seabed liquefaction under standing waves, although qualitatively similar, exhibits features different from that caused by progressive waves....... The experimental results show that the buildup of pore-water pressure and the resulting liquefaction first starts at the nodal section and spreads towards the antinodal section. The number of waves to cause liquefaction at the nodal section appears to be equal to that experienced in progressive waves for the same...

  8. Horizontal drilling under Lake Erie

    Energy Technology Data Exchange (ETDEWEB)

    Meller, R.

    2001-07-01

    Drilling oil wells under Lake Erie calls for horizontal drilling wells to be drilled from shore out into the pay-zone under the lake. The nature and characteristics of horizontal wells as compared to vertical wells are explored. Considerations that have to be taken into account in drilling horizontal wells are explained (the degree of curvature, drilling fluid quality, geosteering in the pay-zone, steering instrumentation, measurements while drilling (MWD), logging while drilling (LWD)). The concept and reasons for extended reach wells are outlined, along with characteristic features of multilateral wells.

  9. Export Taxes under Bertrand Duopoly

    OpenAIRE

    David Collie; Roger Clarke

    2006-01-01

    This article analyses export taxes in a Bertrand duopoly with product differentiation, where a home and a foreign firm both export to a third-country market. It is shown that the maximum-revenue export tax always exceeds the optimum-welfare export tax. In a Nash equilibrium in export taxes, the country with the low cost firm imposes the largest export tax. The results under Bertrand duopoly are compared with those under Cournot duopoly. It is shown that the absolute value of the export subsid...

  10. Equity valuation of Under Armour

    OpenAIRE

    Diogo, Rafael Martins Ribeiro

    2017-01-01

    A dissertação aqui apresentada tem como objetivo apresentar uma avaliação para a Under Armour, - empresa que desenvolve a sua atividade na indústria do equipamento desportivo. A Under Armour representa um exemplo de empreendedorismo, determinação e excelência, personalizada pelo seu fundador e atual diretor executivo. Kevin Plank criou a empresa em 1996, com apenas 23 anos, através do desenvolvimento de um protótipo de uma t-shirt desportiva. Entretanto, a empresa já experienciou uma OPA e...

  11. Competitive Capacity Investment under Uncertainty

    NARCIS (Netherlands)

    X. Li (Xishu); R.A. Zuidwijk (Rob); M.B.M. de Koster (René); R. Dekker (Rommert)

    2016-01-01

    textabstractWe consider a long-term capacity investment problem in a competitive market under demand uncertainty. Two firms move sequentially in the competition and a firm’s capacity decision interacts with the other firm’s current and future capacity. Throughout the investment race, a firm can

  12. Urban School Chiefs Under Fire.

    Science.gov (United States)

    Cuban, Larry

    This study examines three veteran urban school superintendents who were highly respected by their colleagues but who came under intense pressure from forces outside the school systems in the 1960's. Chapter 1 explores the context of the desegregation controversy and the furor over an independent evaluation that faced Benjamin C. Willis in Chicago.…

  13. Fisheries management under nutrient influence

    DEFF Research Database (Denmark)

    Hammarlund, Cecilia; Nielsen, Max; Waldo, Staffan

    2018-01-01

    A fisheries management model that identifies the economic optimal management of fisheries under the influence of nutrients is presented. The model starts from the idea that growth in fish biomass increases with increasing availability of nutrients owing to higher food availability up to a peak...

  14. En administrativ elite under forandring

    DEFF Research Database (Denmark)

    Hansen, Morten Balle; Opstrup, Niels; Villadsen, Anders Ryom

    2013-01-01

    Det undersøges hvorledes de kommunale administrative topchefers baggrund og karriere har udviklet sig fra 1970 til 2008 og om kommunalreformen i 2007 har haft betydning for den seneste udvikling. Nyinstitutionel teori anvendes som overordnet analyseramme, idet topchefernes profil ses som indikato...

  15. Inclusive Education under Collectivistic Culture

    Science.gov (United States)

    Futaba, Yasuko

    2016-01-01

    This paper addresses how inclusive education under collective culture is possible. Inclusive education, which more-or-less involves changing the current schools, has been denied, doubted or distorted by both policy-makers and practitioners of general and special education in Japan. Main reason for the setback in inclusive education can be…

  16. OPEN HEART SURGERY UNDER HYPOTHERMIA

    African Journals Online (AJOL)

    pulmonary blood flow by operation under hypothermia; open heart surgery ... po ition with the right arm abducted and the left arm at the ideo The ... pulmonary valve stenosis is pre ent. Mobilization ... The anaesthetist must try and prevent shivering,. 2. HOURS .... The exploratory inci ion into the right atrial cavity is then clo ed ...

  17. Under pres for at tilgive

    DEFF Research Database (Denmark)

    Gade, Christian B.N.

    2013-01-01

    Efter afslutningen på apartheid i sydafrika etablerede landets nye parlament en sandheds- og forsoningskommission, hvor ofre for apartheid fik mulighed for at fortælle deres historier under offentlige høringer i kommissions komité for menneskerettighedskrænkelser. I løbet af kommissionens arbejde...

  18. MOSFET Degradation Under RF Stress

    NARCIS (Netherlands)

    Sasse, G.T.; Kuper, F.G.; Schmitz, Jurriaan

    2008-01-01

    We report on the degradation of MOS transistors under RF stress. Hot-carrier degradation, negative-bias temperature instability, and gate dielectric breakdown are investigated. The findings are compared to established voltage- and field-driven models. The experimental results indicate that the

  19. American options under stochastic volatility

    NARCIS (Netherlands)

    Chockalingam, A.; Muthuraman, K.

    2011-01-01

    The problem of pricing an American option written on an underlying asset with constant price volatility has been studied extensively in literature. Real-world data, however, demonstrate that volatility is not constant, and stochastic volatility models are used to account for dynamic volatility

  20. Intumescent coatings under fast heating

    DEFF Research Database (Denmark)

    Nørgaard, Kristian Petersen; Dam-Johansen, Kim; Català, Pere

    2012-01-01

    Intumescent coatings are widely used to delay or minimise the destructive effects of fire. They are usually tested under conditions that simulate the relatively slow build-up of heat in a normal fire. Here, the effects of damage during a fire causing sudden heating of the coating were studied....

  1. Product differentiation under bounded rationality

    NARCIS (Netherlands)

    Vermeulen, B.; Poutré, La J.A.; Kok, de A.G.; Pyka, A.; Handa, H.; Ishibuchi, H.; Ong, Y.-S.; Tan, K.-C.

    2015-01-01

    We study product differentiation equilibria and dynamics on the Salop circle under bounded rationality. Due to bounded rationality, firms tend to agglomerate in pairs. Upon adding a second tier of component suppliers, downstream assemblers may escape pairwise horizontal agglomeration. Moreover, we

  2. Nano controllers characterization under radiation

    International Nuclear Information System (INIS)

    Bezerra, F.; Barde, S.; Carayon, J.L.; Sarthou, M.

    1999-01-01

    4 commercial nano-controllers (PIC16LC84, PIC16C73A, PIC16C76 and ST62E25) from MICROCHIP and SGS-Thomson have been characterized under heavy-ions, protons and total dose. The preliminary results show that PIC16LC84 has to be banned from the selection because it can not sustain high cumulated dose (its Idd begins to shift at 6 krads) and that its E 2 PROM code memory is too sensitive to SEU (single event upset). The 3 PICs have been tested with heavy-ions, the results show that they are sensible to upsets and latch-up, nevertheless no latch-up has been observed under proton irradiation. The sensitivity to latch-up does not matter a lot because PICs consume very little and it is planned to implement them in a tolerant design. (A.C.)

  3. Modelling microstructural evolution under irradiation

    International Nuclear Information System (INIS)

    Tikare, V.

    2015-01-01

    Microstructural evolution of materials under irradiation is characterised by some unique features that are not typically present in other application environments. While much understanding has been achieved by experimental studies, the ability to model this microstructural evolution for complex materials states and environmental conditions not only enhances understanding, it also enables prediction of materials behaviour under conditions that are difficult to duplicate experimentally. Furthermore, reliable models enable designing materials for improved engineering performance for their respective applications. Thus, development and application of mesoscale microstructural model are important for advancing nuclear materials technologies. In this chapter, the application of the Potts model to nuclear materials will be reviewed and demonstrated, as an example of microstructural evolution processes. (author)

  4. Interspecific Competition Underlying Mutualistic Networks

    Science.gov (United States)

    Maeng, Seong Eun; Lee, Jae Woo; Lee, Deok-Sun

    2012-03-01

    Multiple classes of interactions may exist affecting one another in a given system. For the mutualistic networks of plants and pollinating animals, it has been known that the degree distribution is broad but often deviates from power-law form more significantly for plants than animals. To illuminate the origin of such asymmetry, we study a model network in which links are assigned under generalized preferential-selection rules between two groups of nodes and find the sensitive dependence of the resulting connectivity pattern on the model parameters. The nonlinearity of preferential selection can come from interspecific interactions among animals and among plants. The model-based analysis of real-world mutualistic networks suggests that a new animal determines its partners not only by their abundance but also under the competition with existing animal species, which leads to the stretched-exponential degree distributions of plants.

  5. Burning Phosphorus under Water Safely

    Science.gov (United States)

    Taylor, Larry C.

    1997-09-01

    A safer method for demonstrating the burning of white phosphorous under water is described. This demonstration uses 3% hydrogen peroxide solution and manganese dioxide as the oxygen source, eliminating the use of potentially explosive potassium chlorate. The oxygen generation is manually controlled by means of a stopcock on the dropping funnel. The apparatus has been designed to provide a most spectacular display, especially in the dark, lasting an hour or longer if desired, and eliminates the noxious phosphorous odor.

  6. Decision Under Uncertainty in Diagnosis

    OpenAIRE

    Kalme, Charles I.

    2013-01-01

    This paper describes the incorporation of uncertainty in diagnostic reasoning based on the set covering model of Reggia et. al. extended to what in the Artificial Intelligence dichotomy between deep and compiled (shallow, surface) knowledge based diagnosis may be viewed as the generic form at the compiled end of the spectrum. A major undercurrent in this is advocating the need for a strong underlying model and an integrated set of support tools for carrying such a model in order to deal with ...

  7. Surface roughening under ion bombardment

    International Nuclear Information System (INIS)

    Bhatia, C.S.

    1982-01-01

    Ion bombardment can cause roughening of a surface. Inadequate step coverage and poor adhesion of films on such surfaces are of concern. An extreme case of surface roughening results in cone formation under ion bombardment. The results of the investigation, using scanning electron microscopy, is discussed in terms of the role of (a) embedded particles, (b) impurities and (c) surface migration in cone formation on the target surface. (Auth.)

  8. Chemical model reduction under uncertainty

    KAUST Repository

    Najm, Habib; Galassi, R. Malpica; Valorani, M.

    2016-01-01

    We outline a strategy for chemical kinetic model reduction under uncertainty. We present highlights of our existing deterministic model reduction strategy, and describe the extension of the formulation to include parametric uncertainty in the detailed mechanism. We discuss the utility of this construction, as applied to hydrocarbon fuel-air kinetics, and the associated use of uncertainty-aware measures of error between predictions from detailed and simplified models.

  9. CONSOLIDATED FINANCIAL STATEMENTS UNDER IFRS

    OpenAIRE

    Tănase Alin-Eliodor; Calotă Traian-Ovidiu

    2013-01-01

    This article is focuses on accounting consolidation techniques and the preparation of consolidation worksheets for the components of financial statements (statement of comprehensive income, statement of changes in equity, and financial position). The presented group includes parent company, two subsidiaries (only one fully controlled by the parent company) and a jointly controlled entity. The financial statements are presented under the following standards IFRS 3 Business Combination, IAS 27 ...

  10. Chemical model reduction under uncertainty

    KAUST Repository

    Najm, Habib

    2016-01-05

    We outline a strategy for chemical kinetic model reduction under uncertainty. We present highlights of our existing deterministic model reduction strategy, and describe the extension of the formulation to include parametric uncertainty in the detailed mechanism. We discuss the utility of this construction, as applied to hydrocarbon fuel-air kinetics, and the associated use of uncertainty-aware measures of error between predictions from detailed and simplified models.

  11. Analytical methods under emergency conditions

    International Nuclear Information System (INIS)

    Sedlet, J.

    1983-01-01

    This lecture discusses methods for the radiochemical determination of internal contamination of the body under emergency conditions, here defined as a situation in which results on internal radioactive contamination are needed quickly. The purpose of speed is to determine the necessity for medical treatment to increase the natural elimination rate. Analytical methods discussed include whole-body counting, organ counting, wound monitoring, and excreta analysis. 12 references

  12. Tort law under oligopolistic competition

    OpenAIRE

    Mondello, Gérard; Salies, Evens

    2016-01-01

    This article extends the unilateral accident standard model to allow for Cournot competition. Assuming risk-neutrality for the regulator and injurers, it analyzes three liability regimes: strict liability, negligence rule, and strict liability with administrative authorization or permits systems. Under competition the equivalence between negligence rule and strict liability no longer holds, and negligence insures a better level of social care. However, enforcing both a permit system and ...

  13. Indirect Reciprocity under Incomplete Observation

    Science.gov (United States)

    Nakamura, Mitsuhiro; Masuda, Naoki

    2011-01-01

    Indirect reciprocity, in which individuals help others with a good reputation but not those with a bad reputation, is a mechanism for cooperation in social dilemma situations when individuals do not repeatedly interact with the same partners. In a relatively large society where indirect reciprocity is relevant, individuals may not know each other's reputation even indirectly. Previous studies investigated the situations where individuals playing the game have to determine the action possibly without knowing others' reputations. Nevertheless, the possibility that observers of the game, who generate the reputation of the interacting players, assign reputations without complete information about them has been neglected. Because an individual acts as an interacting player and as an observer on different occasions if indirect reciprocity is endogenously sustained in a society, the incompleteness of information may affect either role. We examine the game of indirect reciprocity when the reputations of players are not necessarily known to observers and to interacting players. We find that the trustful discriminator, which cooperates with good and unknown players and defects against bad players, realizes cooperative societies under seven social norms. Among the seven social norms, three of the four suspicious norms under which cooperation (defection) to unknown players leads to a good (bad) reputation enable cooperation down to a relatively small observation probability. In contrast, the three trustful norms under which both cooperation and defection to unknown players lead to a good reputation are relatively efficient. PMID:21829335

  14. Ultrasonic sludge pretreatment under pressure.

    Science.gov (United States)

    Le, Ngoc Tuan; Julcour-Lebigue, Carine; Delmas, Henri

    2013-09-01

    The objective of this work was to optimize the ultrasound (US) pretreatment of sludge. Three types of sewage sludge were examined: mixed, secondary and secondary after partial methanisation ("digested" sludge). Thereby, several main process parameters were varied separately or simultaneously: stirrer speed, total solid content of sludge (TS), thermal operating conditions (adiabatic vs. isothermal), ultrasonic power input (PUS), specific energy input (ES), and for the first time external pressure. This parametric study was mainly performed for the mixed sludge. Five different TS concentrations of sludge (12-36 g/L) were tested for different values of ES (7000-75,000 kJ/kgTS) and 28 g/L was found as the optimum value according to the solubilized chemical oxygen demand in the liquid phase (SCOD). PUS of 75-150 W was investigated under controlled temperature and the "high power input - short duration" procedure was the most effective at a given ES. The temperature increase in adiabatic US application significantly improved SCOD compared to isothermal conditions. With PUS of 150 W, the effect of external pressure was investigated in the range of 1-16 bar under isothermal and adiabatic conditions for two types of sludge: an optimum pressure of about 2 bar was found regardless of temperature conditions and ES values. Under isothermal conditions, the resulting improvement of sludge disintegration efficacy as compared to atmospheric pressure was by 22-67% and 26-37% for mixed and secondary sludge, respectively. Besides, mean particle diameter (D[4,3]) of the three sludge types decreased respectively from 408, 117, and 110 μm to about 94-97, 37-42, and 36-40 μm regardless of sonication conditions, and the size reduction process was much faster than COD extraction. Copyright © 2013 Elsevier B.V. All rights reserved.

  15. 16 MW under the seas

    International Nuclear Information System (INIS)

    Mary, Olivier

    2014-01-01

    This article presents the Nemo project (Nemo stands for New Energy for Martinique and Overseas) and its precursor project, Ner 300, developed in cooperation between Akuo Energy and DCNS, and which is financed by the European Bank for Investment. These projects aim at exploiting sea thermal energy. Ner 300 will exploit the 20 degree difference between surface waters (25 C) and deep waters (5 C at 1.000 m under sea level). The article evokes works performed by DCNS to develop a prototype near the Reunion Island. The principle and operation are briefly described, and technological challenges are outlined

  16. Hydrogen: energy transition under way

    International Nuclear Information System (INIS)

    Franc, Pierre-Etienne; Mateo, Pascal

    2015-01-01

    Written by a representative of Air Liquide with the help of a free lance journalist, this book proposes an overview of the technological developments for the use of hydrogen as a clean energy with its ability to store primary energy (notably that produced by renewable sources), and its capacity of energy restitution in combination with a fuel cell with many different applications (notably mobility-related applications). The authors outline that these developments are very important in a context of energy transition. They also outline what is left to be done, notably economically and financially, for hydrogen to play its role in the energy revolution which is now under way

  17. Mammography in women under 35

    International Nuclear Information System (INIS)

    Panzarola, P.; Bellucci, M.C.

    1991-01-01

    The detection of breast cancer in women under 35 is quite an uncommon event, accounting only for 3.2-3.4% of all breast cancers. To determine the indications for mammography in women under 35, the authors correlated clinical, mammographic, and US findings with fine-needle aspiration/surgical biopsy and follow-up results in 1040 symptomatic women examined at the Center of Senology of the Istitute of Radiology - University of Perugia, Italy, from 1984 to June 1990. Of 1040 women, 482 (41.6%) had normal findings; benign disease was diagnosed in 558 (53.7%) cases, and malignant disease in 49 (4.7%). Mammography was very useful to diagnose malignancy in palpable breast lesions, as well as to suggest the need for biopsy, to detect metachronous cancer and to define lesion sizes. In inflammatory process - e.g., mastitis and abscesses - both mammography and US were capable as its remission after therapy. Galactography had a specific role in the evaluation of the mammary duct and demonstrated intraductal pathologic conditions. In the authors'experiences, mammography never showed occult breast cancers in women with no palpable breast lesions or hematic nipple discharge

  18. SULFENTRAZONE PHYTOREMEDIATION UNDER FIELD CONDITIONS

    Directory of Open Access Journals (Sweden)

    ALESSANDRA FERREIRA BELO

    2016-01-01

    Full Text Available Phytoremediation is a technique that has been used with increasing frequency to decontaminate soils treated with herbicides that have long - term residual effects, such as sulfentrazone. The goal was to assess phytoremediation of the herbicide sulfentrazone under field conditions by the species Canavalia ensiformis and Crotalaria juncea . The treatments consisted of combinations of the plant species C. ensiformis and C. juncea plus a control treatment (with manual weeding and four doses of the herbicide sulfentrazone. The experimental design used herein was a split - plot randomized block design with four replicates per subplot. The treatments were kept in the field for 75 days. After this period, the experimental area was again furrowed and fertilized, considering the requirements for Pennisetum glaucum , a plant used as an indicator of the presence of sulfentrazone. Thirty - four days after sowing pearl millet, the fresh and dry shoot masses of the plants were assessed. At the end of the cycle, the plant height, stem diameter, internode length, number of leaves, number of panicles, and fresh and dry panicle masses were determined. Previous cultivation of phytoremediation species C. ensiformis and C. juncea promotes sulfentrazone remediation. C. ensiformis is the most efficient species for the decontamination of the herbicide sulfentrazone under field conditions.

  19. Altered Insula Connectivity under MDMA.

    Science.gov (United States)

    Walpola, Ishan C; Nest, Timothy; Roseman, Leor; Erritzoe, David; Feilding, Amanda; Nutt, David J; Carhart-Harris, Robin L

    2017-10-01

    Recent work with noninvasive human brain imaging has started to investigate the effects of 3,4-methylenedioxymethamphetamine (MDMA) on large-scale patterns of brain activity. MDMA, a potent monoamine-releaser with particularly pronounced serotonin- releasing properties, has unique subjective effects that include: marked positive mood, pleasant/unusual bodily sensations and pro-social, empathic feelings. However, the neurobiological basis for these effects is not properly understood, and the present analysis sought to address this knowledge gap. To do this, we administered MDMA-HCl (100 mg p.o.) and, separately, placebo (ascorbic acid) in a randomized, double-blind, repeated-measures design with twenty-five healthy volunteers undergoing fMRI scanning. We then employed a measure of global resting-state functional brain connectivity and follow-up seed-to-voxel analysis to the fMRI data we acquired. Results revealed decreased right insula/salience network functional connectivity under MDMA. Furthermore, these decreases in right insula/salience network connectivity correlated with baseline trait anxiety and acute experiences of altered bodily sensations under MDMA. The present findings highlight insular disintegration (ie, compromised salience network membership) as a neurobiological signature of the MDMA experience, and relate this brain effect to trait anxiety and acutely altered bodily sensations-both of which are known to be associated with insular functioning.

  20. Haldane model under nonuniform strain

    Science.gov (United States)

    Ho, Yen-Hung; Castro, Eduardo V.; Cazalilla, Miguel A.

    2017-10-01

    We study the Haldane model under strain using a tight-binding approach, and compare the obtained results with the continuum-limit approximation. As in graphene, nonuniform strain leads to a time-reversal preserving pseudomagnetic field that induces (pseudo-)Landau levels. Unlike a real magnetic field, strain lifts the degeneracy of the zeroth pseudo-Landau levels at different valleys. Moreover, for the zigzag edge under uniaxial strain, strain removes the degeneracy within the pseudo-Landau levels by inducing a tilt in their energy dispersion. The latter arises from next-to-leading order corrections to the continuum-limit Hamiltonian, which are absent for a real magnetic field. We show that, for the lowest pseudo-Landau levels in the Haldane model, the dominant contribution to the tilt is different from graphene. In addition, although strain does not strongly modify the dispersion of the edge states, their interplay with the pseudo-Landau levels is different for the armchair and zigzag ribbons. Finally, we study the effect of strain in the band structure of the Haldane model at the critical point of the topological transition, thus shedding light on the interplay between nontrivial topology and strain in quantum anomalous Hall systems.

  1. Topology optimization under stochastic stiffness

    Science.gov (United States)

    Asadpoure, Alireza

    Topology optimization is a systematic computational tool for optimizing the layout of materials within a domain for engineering design problems. It allows variation of structural boundaries and connectivities. This freedom in the design space often enables discovery of new, high performance designs. However, solutions obtained by performing the optimization in a deterministic setting may be impractical or suboptimal when considering real-world engineering conditions with inherent variabilities including (for example) variabilities in fabrication processes and operating conditions. The aim of this work is to provide a computational methodology for topology optimization in the presence of uncertainties associated with structural stiffness, such as uncertain material properties and/or structural geometry. Existing methods for topology optimization under deterministic conditions are first reviewed. Modifications are then proposed to improve the numerical performance of the so-called Heaviside Projection Method (HPM) in continuum domains. Next, two approaches, perturbation and Polynomial Chaos Expansion (PCE), are proposed to account for uncertainties in the optimization procedure. These approaches are intrusive, allowing tight and efficient coupling of the uncertainty quantification with the optimization sensitivity analysis. The work herein develops a robust topology optimization framework aimed at reducing the sensitivity of optimized solutions to uncertainties. The perturbation-based approach combines deterministic topology optimization with a perturbation method for the quantification of uncertainties. The use of perturbation transforms the problem of topology optimization under uncertainty to an augmented deterministic topology optimization problem. The PCE approach combines the spectral stochastic approach for the representation and propagation of uncertainties with an existing deterministic topology optimization technique. The resulting compact representations

  2. Investment under Uncertain Climate Policy

    DEFF Research Database (Denmark)

    Barradale, Merrill Jones

    2014-01-01

    This paper introduces the concept of payment probability as an important component of carbon risk (the financial risk associated with CO2 emissions under uncertain climate policy). In modeling power plant investment decisions, most existing literature uses the expected carbon price (e.g., the price...... actually be faced in the case of a particular investment. This concept helps explain both the surge of activity in 2005–2006 and the subsequent decline in interest in coal-fired power plant development in the U.S. The data for this case study comes from an extensive online survey of 700 U.S. energy...... design better incentives for investing in low-carbon technologies...

  3. LDA measurements under plasma conditions

    International Nuclear Information System (INIS)

    Lesinski, J.; Mizera-Lesinska, B.; Fanton, J.C.; Boulos, M.I.

    1979-01-01

    A study was made of the application of Laser Doppler Anemometry (LDA) for the measurement of the fluid and particle velocities under plasma conditions. The flow configuration, is that of a dc plasma jet called the principal jet, in which an alumina powder of a mean particle diameter of 115 μm and a standard deviation of 11.3 μm was injected using a secondary jet. The plasma jet immerged from a 7.1 mm ID nozzle while that of the secondary jet was 2 nm in diameter. The secondary jet was introduced at the nozzle level of the plasma jet directed 90 0 to its axis. Details of the nozzle and the gas flow system are shown in Figure 2

  4. Rock strength under explosive loading

    International Nuclear Information System (INIS)

    Rimer, N.; Proffer, W.

    1993-01-01

    This presentation emphasizes the importance of a detailed description of the nonlinear deviatoric (strength) response of the surrounding rock in the numerical simulation of underground nuclear explosion phenomenology to the late times needed for test ban monitoring applications. We will show how numerical simulations which match ground motion measurements in volcanic tuffs and in granite use the strength values obtained from laboratory measurements on small core samples of these rocks but also require much lower strength values after the ground motion has interacted with the rock. The underlying physical mechanisms for the implied strength reduction are not yet well understood, and in fact may depend on the particular rock type. However, constitutive models for shock damage and/or effective stress have been used successfully at S-Cubed in both the Geophysics Program (primarily for DARPA) and the Containment Support Program (for DNA) to simulate late time ground motions measured at NTS in many different rock types

  5. Wood construction under cold climate

    DEFF Research Database (Denmark)

    Wang, Xiaodong; Hagman, Olle; Sundqvist, Bror

    2014-01-01

    As wood constructions increasingly use engineered wood products worldwide, concerns arise about the integrity of the wood and adhesives system. The glueline stability is a crucial issue for engineered wood application, especially under cold climate. In this study, Norway spruce (Picea abies...... affected shear strength of wood joints. As temperature decreased, the shear strength decreased. PUR resin resulted in the strongest shear strength at all temperatures tested. MF resin responded to temperature changes in a similar ways as the PUR resin. The shear strength of wood joints with EPI resins...... specimens need to be tested in further work to more completely present the issue. The EN 301 and EN 302 may need to be specified based on wood species....

  6. Physicists' Forced Migrations under Hitler

    Science.gov (United States)

    Beyerchen, Alan

    2011-03-01

    When the Nazis came to power in early 1933 they initiated formal and informal measures that forced Jews and political opponents from public institutions such as universities. Some physicists retired and others went into industry, but most emigrated. International communication and contact made emigration a viable option despite the desperate economic times in the Great Depression. Another wave of emigrations followed the annexation of Austria in 1938. Individual cases as well as general patterns of migration and adaptation to new environments will be examined in this presentation. One important result of the forced migrations was that many of the physicists expelled under Hitler played important roles in strengthening physics elsewhere, often on the Allied side in World War II.

  7. Filament instability under constant loads

    Science.gov (United States)

    Monastra, A. G.; Carusela, M. F.; D’Angelo, M. V.; Bruno, L.

    2018-04-01

    Buckling of semi-flexible filaments appears in different systems and scales. Some examples are: fibers in geophysical applications, microtubules in the cytoplasm of eukaryotic cells and deformation of polymers freely suspended in a flow. In these examples, instabilities arise when a system’s parameter exceeds a critical value, being the Euler force the most known. However, the complete time evolution and wavelength of buckling processes are not fully understood. In this work we solve analytically the time evolution of a filament under a constant compressive force in the small amplitude approximation. This gives an insight into the variable force scenario in terms of normal modes. The evolution is highly sensitive to the initial configuration and to the magnitude of the compressive load. This model can be a suitable approach to many different real situations.

  8. Component processes underlying future thinking.

    Science.gov (United States)

    D'Argembeau, Arnaud; Ortoleva, Claudia; Jumentier, Sabrina; Van der Linden, Martial

    2010-09-01

    This study sought to investigate the component processes underlying the ability to imagine future events, using an individual-differences approach. Participants completed several tasks assessing different aspects of future thinking (i.e., fluency, specificity, amount of episodic details, phenomenology) and were also assessed with tasks and questionnaires measuring various component processes that have been hypothesized to support future thinking (i.e., executive processes, visual-spatial processing, relational memory processing, self-consciousness, and time perspective). The main results showed that executive processes were correlated with various measures of future thinking, whereas visual-spatial processing abilities and time perspective were specifically related to the number of sensory descriptions reported when specific future events were imagined. Furthermore, individual differences in self-consciousness predicted the subjective feeling of experiencing the imagined future events. These results suggest that future thinking involves a collection of processes that are related to different facets of future-event representation.

  9. Precise object tracking under deformation

    International Nuclear Information System (INIS)

    Saad, M.H

    2010-01-01

    The precise object tracking is an essential issue in several serious applications such as; robot vision, automated surveillance (civil and military), inspection, biomedical image analysis, video coding, motion segmentation, human-machine interface, visualization, medical imaging, traffic systems, satellite imaging etc. This frame-work focuses on the precise object tracking under deformation such as scaling , rotation, noise, blurring and change of illumination. This research is a trail to solve these serious problems in visual object tracking by which the quality of the overall system will be improved. Developing a three dimensional (3D) geometrical model to determine the current pose of an object and predict its future location based on FIR model learned by the OLS. This framework presents a robust ranging technique to track a visual target instead of the traditional expensive ranging sensors. The presented research work is applied to real video stream and achieved high precession results.

  10. Nutrition security under extreme events

    Science.gov (United States)

    Martinez, A.

    2017-12-01

    Nutrition security under extreme events. Zero hunger being one of the Sustainable Development Goal from the United Nations, food security has become a trending research topic. However extreme events impact on global food security is not yet 100% understood and there is a lack of comprehension of the underlying mechanisms of global food trade and nutrition security to improve countries resilience to extreme events. In a globalized world, food is still a highly regulated commodity and a strategic resource. A drought happening in a net food-exporter will have little to no effect on its own population but the repercussion on net food-importers can be extreme. In this project, we propose a methodology to describe and quantify the impact of a local drought to human health at a global scale. For this purpose, nutrition supply and global trade data from FAOSTAT have been used with domestic food production from national agencies and FAOSTAT, global precipitation from the Climate Research Unit and health data from the World Health Organization. A modified Herfindahl-Hirschman Index (HHI) has been developed to measure the level of resilience of one country to a drought happening in another country. This index describes how a country is dependent of importation and how diverse are its importation. Losses of production and exportation due to extreme events have been calculated using yield data and a simple food balance at country scale. Results show that countries the most affected by global droughts are the one with the highest dependency to one exporting country. Changes induced by droughts also disturbed their domestic proteins, fat and calories supply resulting most of the time in a higher intake of calories or fat over proteins.

  11. Precise Object Tracking under Deformation

    International Nuclear Information System (INIS)

    Saad, M.H.

    2010-01-01

    The precise object tracking is an essential issue in several serious applications such as; robot vision, automated surveillance (civil and military), inspection, biomedical image analysis, video coding, motion segmentation, human-machine interface, visualization, medical imaging, traffic systems, satellite imaging etc. This framework focuses on the precise object tracking under deformation such as scaling, rotation, noise, blurring and change of illumination. This research is a trail to solve these serious problems in visual object tracking by which the quality of the overall system will be improved. Developing a three dimensional (3D) geometrical model to determine the current pose of an object and predict its future location based on FIR model learned by the OLS. This framework presents a robust ranging technique to track a visual target instead of the traditional expensive ranging sensors. The presented research work is applied to real video stream and achieved high precession results. xiiiThe precise object tracking is an essential issue in several serious applications such as; robot vision, automated surveillance (civil and military), inspection, biomedical image analysis, video coding, motion segmentation, human-machine interface, visualization, medical imaging, traffic systems, satellite imaging etc. This framework focuses on the precise object tracking under deformation such as scaling, rotation, noise, blurring and change of illumination. This research is a trail to solve these serious problems in visual object tracking by which the quality of the overall system will be improved. Developing a three dimensional (3D) geometrical model to determine the current pose of an object and predict its future location based on FIR model learned by the OLS. This framework presents a robust ranging technique to track a visual target instead of the traditional expensive ranging sensors. The presented research work is applied to real video stream and achieved high

  12. Dolomite decomposition under CO2

    International Nuclear Information System (INIS)

    Guerfa, F.; Bensouici, F.; Barama, S.E.; Harabi, A.; Achour, S.

    2004-01-01

    Full text.Dolomite (MgCa (CO 3 ) 2 is one of the most abundant mineral species on the surface of the planet, it occurs in sedimentary rocks. MgO, CaO and Doloma (Phase mixture of MgO and CaO, obtained from the mineral dolomite) based materials are attractive steel-making refractories because of their potential cost effectiveness and world wide abundance more recently, MgO is also used as protective layers in plasma screen manufacture ceel. The crystal structure of dolomite was determined as rhombohedral carbonates, they are layers of Mg +2 and layers of Ca +2 ions. It dissociates depending on the temperature variations according to the following reactions: MgCa (CO 3 ) 2 → MgO + CaO + 2CO 2 .....MgCa (CO 3 ) 2 → MgO + Ca + CaCO 3 + CO 2 .....This latter reaction may be considered as a first step for MgO production. Differential thermal analysis (DTA) are used to control dolomite decomposition and the X-Ray Diffraction (XRD) was used to elucidate thermal decomposition of dolomite according to the reaction. That required samples were heated to specific temperature and holding times. The average particle size of used dolomite powders is 0.3 mm, as where, the heating temperature was 700 degree celsius, using various holding times (90 and 120 minutes). Under CO 2 dolomite decomposed directly to CaCO 3 accompanied by the formation of MgO, no evidence was offered for the MgO formation of either CaO or MgCO 3 , under air, simultaneous formation of CaCO 3 , CaO and accompanied dolomite decomposition

  13. Roots of terrorism: a reassessment after September 11th

    Energy Technology Data Exchange (ETDEWEB)

    Pilat, Joseph F.

    2002-01-01

    The brutal terrorist attacks of September 11th, the anthrax attacks that followed and growing knowledge of al Qaeda's pursuit of nuclear, biological and chemical weapons have not only intensified concerns about terrorism but also created doubts about our understanding of terrorism. These attacks were in many ways unprecedented, and ultimately raise the question of the roots or causes of terrorism. Historically and today, there have been divergent views on this question, which reflect philosophical, religious, political, sociological and other differences. These differences are not merely academic, as they can affect our understanding of both the threat and of responses to terrorism in the aftermath of September 11th, Terrorism is too complex and diverse a phenomenon to speak easily of causes. But we may be able to discern the causes of specific acts. Our response to 9/11 and other acts of terrorism will be affected by our understanding of their causes. If 9/11 was caused by US Middle East policies, the response must involve a review of these policies. If it is a backlash against globalization, the response must address the realities underlying anti-globalization sentiments. Addressing causes will not in any case end terrorism, and addressing the wrong causes will be counterproductive. Actions to reduce those conditions that create support for terrorism and aid its recruitment, which need to be clearly identified, are critical in any counterterrorism strategy. So we must understand the reasons for terrorism and, in particular, for the attacks of September 11th.T his paper will look at the question of the roots of terrorism and then look to the specific case of 911 and its aftermath, with a special view to the impact of globalization.

  14. CANDU safety under severe accidents

    International Nuclear Information System (INIS)

    Snell, V.G.; Howieson, J.Q.; Frescura, G.M.; King, F.; Rogers, J.T.; Tamm, H.

    1988-01-01

    The characteristics of the CANDU reactor relevant to severe accidents are set first by the inherent properties of the design, and second by the Canadian safety/licensing approach. Probabilistic safety assessment studies have been performed on operating CANDU plants, and on the 4 x 880 MW(e) Darlington station now under construction; furthermore a scoping risk assessment has been done for a CANDU 600 plant. They indicate that the summed severe core damage frequency is of the order of 5 x 10 -6 /year. CANDU nuclear plant designers and owner/operators share information and operational experience nationally and internationally through the CANDU Owners' Group (COG). The research program generally emphasizes the unique aspects of the CANDU concept, such as heat removal through the moderator, but it has also contributed significantly to areas generic to most power reactors such as hydrogen combustion, containment failure modes, fission product chemistry, and high temperature fuel behaviour. Abnormal plant operating procedures are aimed at first using event-specific emergency operating procedures, in cases where the event can be diagnosed. If this is not possible, generic procedures are followed to control Critical Safety Parameters and manage the accident. Similarly, the on-site contingency plans include a generic plan covering overall plant response strategy, and a specific plan covering each category of contingency

  15. Climate policies under wealth inequality.

    Science.gov (United States)

    Vasconcelos, Vítor V; Santos, Francisco C; Pacheco, Jorge M; Levin, Simon A

    2014-02-11

    Taming the planet's climate requires cooperation. Previous failures to reach consensus in climate summits have been attributed, among other factors, to conflicting policies between rich and poor countries, which disagree on the implementation of mitigation measures. Here we implement wealth inequality in a threshold public goods dilemma of cooperation in which players also face the risk of potential future losses. We consider a population exhibiting an asymmetric distribution of rich and poor players that reflects the present-day status of nations and study the behavioral interplay between rich and poor in time, regarding their willingness to cooperate. Individuals are also allowed to exhibit a variable degree of homophily, which acts to limit those that constitute one's sphere of influence. Under the premises of our model, and in the absence of homophily, comparison between scenarios with wealth inequality and without wealth inequality shows that the former leads to more global cooperation than the latter. Furthermore, we find that the rich generally contribute more than the poor and will often compensate for the lower contribution of the latter. Contributions from the poor, which are crucial to overcome the climate change dilemma, are shown to be very sensitive to homophily, which, if prevalent, can lead to a collapse of their overall contribution. In such cases, however, we also find that obstinate cooperative behavior by a few poor may largely compensate for homophilic behavior.

  16. Decision Making Under Uncertain Categorization

    Directory of Open Access Journals (Sweden)

    Stephanie Ying-Fen Chen

    2014-09-01

    Full Text Available Two experiments investigated how category information is used in decision making under uncertainty and whether the framing of category information influences how it is used. Subjects were presented with vignettes in which the categorization of a critical item was ambiguous and were asked to choose among a set of actions with the goal of attaining the desired outcome for the main character in the story. The normative decision making strategy was to base the decision on all possible categories; however, research on a related topic, category-based induction, has found that people often only consider a single category when making predictions when categorization is uncertain. These experiments found that subjects tend to consider multiple categories when making decisions, but do so both when it is and is not appropriate, suggesting that use of multiple categories is not driven by an understanding of what categories are and are not relevant to the decision. Similarly, although a framing manipulation increased the rate of multiple-category use, it did so in situations in which multiple-category use was and was not appropriate.

  17. Project Evaluation under Inflation Condition

    International Nuclear Information System (INIS)

    Hindy, M.; El Missiry, P.

    2004-01-01

    This paper analyzes the role of inflation in capital budgeting and attempts to introduce solutions to such implication in order to make the appropriate decision for the firm' stockholders under these circumstances. Inflation leads to biasness in evaluating the investment projects, due to its impact on the cash flow, the discount rate, the initial investment cost, and the depreciation. This paper has shown that the capital budgeting process is not neutral with respect to inflation, as the output prices will raise as well as the operating and capital expenditures will also be adjusted due to inflation. In addition, it has shown that it is reasonable to expect that the cost of capital will increase as a result of an increase in the real interest rate, the inflation premium, and the cost of equity. Of critical importance is the basis used in calculating the annual depreciation which may lead to the transfer of wealth from the investment projects to the government and will result in underestimating the net present value of the investment projects, if these depreciation charges is calculated based upon the historical values and not on the replacement cost of the fixed assets

  18. Image annotation under X Windows

    Science.gov (United States)

    Pothier, Steven

    1991-08-01

    A mechanism for attaching graphic and overlay annotation to multiple bits/pixel imagery while providing levels of performance approaching that of native mode graphics systems is presented. This mechanism isolates programming complexity from the application programmer through software encapsulation under the X Window System. It ensures display accuracy throughout operations on the imagery and annotation including zooms, pans, and modifications of the annotation. Trade-offs that affect speed of display, consumption of memory, and system functionality are explored. The use of resource files to tune the display system is discussed. The mechanism makes use of an abstraction consisting of four parts; a graphics overlay, a dithered overlay, an image overly, and a physical display window. Data structures are maintained that retain the distinction between the four parts so that they can be modified independently, providing system flexibility. A unique technique for associating user color preferences with annotation is introduced. An interface that allows interactive modification of the mapping between image value and color is discussed. A procedure that provides for the colorization of imagery on 8-bit display systems using pixel dithering is explained. Finally, the application of annotation mechanisms to various applications is discussed.

  19. Pressure cylinders under fire condition

    Directory of Open Access Journals (Sweden)

    Jan Hora

    2016-03-01

    Full Text Available The presence of pressure cylinders under fire conditions significantly increases the risk rate for the intervening persons. It is considerably problematic to predict the pressure cylinders behaviour during heat exposition, its destruction progress and possible following explosion of the produced air–gas mixture because pressure cylinders and its environment generate a highly complicated dynamic system during an uncontrolled destruction. The large scale tests carried out by the Pilsen Fire and Rescue Department and the Rapid Response Unit of the Czech Republic Police in October 2012 and in May 2014 in the Military area Brdy and in the area of the former Lachema factory in Kaznějov had several objectives, namely, to record, qualify and quantify some of the aspects of an uncontrolled heat destruction procedure of an exposed pressure cylinder in an enclosed space and to qualify and describe the process of a controlled destruction of a pressure cylinder by shooting through it including basic tactical concepts. The article describes the experiments that were carried out.

  20. ATLAS: Now under new management

    CERN Multimedia

    Katarina Anthony

    2013-01-01

    On 1 March, the ATLAS Collaboration welcomed a new spokesperson, Dave Charlton (University of Birmingham), and two new deputy spokespersons, Thorsten Wengler (CERN) and Beate Heinemann (University of California, Berkeley and LBNL). The Bulletin takes a look at what’s in store for one of the world’s largest scientific collaborations.   ATLAS members at the 2010 collaboration meeting in Copenhagen. Image: Rune Johansen and Troels Petersen. ATLAS spokesperson Dave Charlton has seen the collaboration through countless milestones: from construction to start-up to the 4 July 2012 announcement, he’s been an integral part of the team. Now, after twelve years with the collaboration, Dave is moving into the main office for the next two years. “2012 was a landmark year for ATLAS,” says Dave. “We spent a lot of time in the limelight and, in many ways, all eyes are still on us. But with the shutdown now under way, our focus is ...

  1. Emissions trading under market imperfections

    Energy Technology Data Exchange (ETDEWEB)

    Lappi, P.

    2013-08-15

    In this thesis we consider emissions trading under various market imperfections such as uncertainty over permit price, imperfect competition and noncompliance. First, we study the effects of uncertain permit price on the firms choice of emission intensive and clean inputs in an multi-input production process. We also assess the risk aversion factors of some Finnish heat and power producers. Second, we study imperfect competition in output and permit markets with a two-stage model, where output decision is made before permit trades. The emphasis is on the strategic interaction between firms and on the efficiency increasing regulation. Third, we turn back to uncertainty and analyse the welfare difference between emissions trading and emission tax, when some of the firms may be noncompliant. The main finding is that welfare is greater with emission tax than with emissions trading, when at least one firm is noncompliant. Finally, we extend some existing models of permit banking and borrowing to encompass also noncompliant behavior of firms. Here, we analyse the incentives of compliant firms to become noncompliant at some point in time and also the time paths of the choice variables. (orig.)

  2. CANDU safety under severe accidents

    International Nuclear Information System (INIS)

    Snell, V.G.; Howieson, J.Q.; Alikhan, S.; Frescura, G.M.; King, F.; Rogers, J.T.; Tamm, H.

    1996-01-01

    The characteristics of the CANDU reactor relevant to severe accidents are set first by the inherent properties of the design, and second by the Canadian safety/licensing approach. The pressure-tube concept allows the separate, low-pressure, heavy-water moderator to act as a backup heat sink even if there is no water in the fuel channels. Should this also fail, the calandria shell itself can contain the debris, with heat being transferred to the water-filled shield tank around the core. Should the severe core damage sequence progress further, the shield tank and the concrete reactor vault significantly delay the challenge to containment. Furthermore, should core melt lead to containment overpressure, the containment behaviour is such that leaks through the concrete containment wall reduce the possibility of catastrophic structural failure. The Canadian licensing philosophy requires that each accident, together with failure of each safety system in turn, be assessed (and specified dose limits met) as part of the design and licensing basis. In response, designers have provided CANDUs with two independent dedicated shutdown systems, and the likelihood of Anticipated Transients Without Scram is negligible. Probabilistic safety assessment studies have been performed on operating CANDU plants, and on the 4 x 880 MW(e) Darlington station now under construction; furthermore a scoping risk assessment has been done for a CANDU 600 plant. They indicate that the summed severe core damage frequency is of the order of 5 x 10 -6 /year. 95 refs, 3 tabs

  3. Reliability analysis under epistemic uncertainty

    International Nuclear Information System (INIS)

    Nannapaneni, Saideep; Mahadevan, Sankaran

    2016-01-01

    This paper proposes a probabilistic framework to include both aleatory and epistemic uncertainty within model-based reliability estimation of engineering systems for individual limit states. Epistemic uncertainty is considered due to both data and model sources. Sparse point and/or interval data regarding the input random variables leads to uncertainty regarding their distribution types, distribution parameters, and correlations; this statistical uncertainty is included in the reliability analysis through a combination of likelihood-based representation, Bayesian hypothesis testing, and Bayesian model averaging techniques. Model errors, which include numerical solution errors and model form errors, are quantified through Gaussian process models and included in the reliability analysis. The probability integral transform is used to develop an auxiliary variable approach that facilitates a single-level representation of both aleatory and epistemic uncertainty. This strategy results in an efficient single-loop implementation of Monte Carlo simulation (MCS) and FORM/SORM techniques for reliability estimation under both aleatory and epistemic uncertainty. Two engineering examples are used to demonstrate the proposed methodology. - Highlights: • Epistemic uncertainty due to data and model included in reliability analysis. • A novel FORM-based approach proposed to include aleatory and epistemic uncertainty. • A single-loop Monte Carlo approach proposed to include both types of uncertainties. • Two engineering examples used for illustration.

  4. Are decisions under risk malleable?

    Science.gov (United States)

    Fong, C; McCabe, K

    1999-09-14

    Human decision making under risk and uncertainty may depend on individual involvement in the outcome-generating process. Expected utility theory is silent on this issue. Prospect theory in its current form offers little, if any, prediction of how or why involvement in a process should matter, although it may offer ex post interpretations of empirical findings. Well-known findings in psychology demonstrate that when subjects exercise more involvement or choice in lottery procedures, they value their lottery tickets more highly. This often is interpreted as an "illusion of control," meaning that when subjects are more involved in a lottery, they may believe they are more likely to win, perhaps because they perceive that they have more control over the outcome. Our experimental design eliminates several possible alternative explanations for the results of previous studies in an experiment that varies the degree and type of involvement in lottery procedures. We find that in treatments with more involvement subjects on average place less rather than more value on their lottery tickets. One possible explanation for this is that involvement interacts with loss aversion by causing subjects to weigh losses more heavily than they would otherwise. One implication of our study is that involvement, either independently or in interaction with myopic loss aversion, may help explain the extreme risk aversion of bond investors.

  5. CANDU safety under severe accidents

    Energy Technology Data Exchange (ETDEWEB)

    Snell, V G; Howieson, J Q [Atomic Energy of Canada Ltd. (Canada); Alikhan, S [New Brunswick Electric Power Commission (Canada); Frescura, G M; King, F [Ontario Hydro (Canada); Rogers, J T [Carleton Univ., Ottawa, ON (Canada); Tamm, H [Atomic Energy of Canada Ltd. (Canada). Whiteshell Research Lab.

    1996-12-01

    The characteristics of the CANDU reactor relevant to severe accidents are set first by the inherent properties of the design, and second by the Canadian safety/licensing approach. The pressure-tube concept allows the separate, low-pressure, heavy-water moderator to act as a backup heat sink even if there is no water in the fuel channels. Should this also fail, the calandria shell itself can contain the debris, with heat being transferred to the water-filled shield tank around the core. Should the severe core damage sequence progress further, the shield tank and the concrete reactor vault significantly delay the challenge to containment. Furthermore, should core melt lead to containment overpressure, the containment behaviour is such that leaks through the concrete containment wall reduce the possibility of catastrophic structural failure. The Canadian licensing philosophy requires that each accident, together with failure of each safety system in turn, be assessed (and specified dose limits met) as part of the design and licensing basis. In response, designers have provided CANDUs with two independent dedicated shutdown systems, and the likelihood of Anticipated Transients Without Scram is negligible. Probabilistic safety assessment studies have been performed on operating CANDU plants, and on the 4 x 880 MW(e) Darlington station now under construction; furthermore a scoping risk assessment has been done for a CANDU 600 plant. They indicate that the summed severe core damage frequency is of the order of 5 x 10{sup -6}/year. 95 refs, 3 tabs.

  6. Noise exposure under hyperbaric conditions

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-03-01

    Objective evidence exists that divers demonstrate a hearing deficit greater than would be expected from ageing effects alone. Deafness in divers may be caused by a number of factors other than exposure to excessive noise levels, eg barotrauma, ear infection etc. This review concentrates on the concern that exposure of commercial divers to noise while at work may cause a hearing deficit. Sound pressure levels recorded both underwater and in diving chambers often exceed those allowable to workers onshore. However, the sound perceived by the diver is modified both in amplitude and in frequency when he is either underwater or in pressurised chambers. Broadly the effect of this modification is to attenuate the sound and thus offer some protection from high noise levels. The degree of attentuation varies with the frequency of the sound, however it is also possible under specific conditions associated with gas density for the sensitivity to particular frequencies to be amplified above that for normal atmospheric air. The levels of sound observed from some underwater tools are of concern even after allowing for a significant de-sensitisation of the divers` hearing. Reports of tinnitus and temporary hearing loss following a dive are sure signs that the noise levels have been harmful. It is not possible at present to describe risk criteria for hearing damage due to noise exposure associated with diving. (author)

  7. EDITORIAL: High performance under pressure High performance under pressure

    Science.gov (United States)

    Demming, Anna

    2011-11-01

    nanoelectromechanical systems. Researchers in China exploit the coupling between piezoelectric and semiconducting properties of ZnO in an optimised diode device design [6]. They used a Schottky rather than an ohmic contact to depress the off current. In addition they used ZnO nanobelts that have dominantly polar surfaces instead of [0001] ZnO nanowires to enhance the on current under the small applied forces obtained by using an atomic force microscopy tip. The nanobelts have potential for use in random access memory devices. Much of the success in applying piezoresistivity in device applications stems from a deepening understanding of the mechanisms behind the process. A collaboration of researchers in the USA and China have proposed a new criterion for identifying the carrier type of individual ZnO nanowires based on the piezoelectric output of a nanowire when it is mechanically deformed by a conductive atomic force microscopy tip in contact mode [7]. The p-type/n-type shell/core nanowires give positive piezoelectric outputs, while the n-type nanowires produce negative piezoelectric outputs. In this issue Zhong Lin Wang and colleagues in Italy and the US report theoretical investigations into the piezoresistive behaviour of ZnO nanowires for energy harvesting. The work develops previous research on the ability of vertically aligned ZnO nanowires under uniaxial compression to power a nanodevice, in particular a pH sensor [8]. Now the authors have used finite element simulations to study the system. Among their conclusions they find that, for typical geometries and donor concentrations, the length of the nanowire does not significantly influence the maximum output piezopotential because the potential mainly drops across the tip. This has important implications for low-cost, CMOS- and microelectromechanical-systems-compatible fabrication of nanogenerators. The simulations also reveal the influence of the dielectric surrounding the nanowire on the output piezopotential, especially for

  8. Hybrid FRC under repeated loading

    International Nuclear Information System (INIS)

    Komlos, K.; Babal, B.; Nuernbergerova, T.

    1993-01-01

    Fibre reinforced concretes (FRC) containing several volume fractions in different ratios of two types of fibres - polypropylene and steel, were tested under repeated loading. Mechanical properties of specimens - cubes 150/150/150 mm (for compressive strength), prisms 100/100/400 (for flexural strength), short cylinders 150/60 mm (for impact strength) have been experimentally investigated before and after cyclic loading at the age of 28 days curing time. Mix proportions were designed after DIN 1045 with max. aggregate size 8 mm and grading curve B 8. Portland Cement PC 400 in the amount of 450 kg. m -3 was applied and W/C ratio 0.55. Workability of mixes was measured by Vebe method and regulated by plasticizing admixture Ligoplast Na. Maximum hybrid fibre volume fraction (polypropylene + steel) was 1.0%. Dynamic forces generated in Schenck testing machine with frequency 16 Hz had sinusoidal wave form varying between 0.7 and 0.1 of static mechanical characteristics. The number of cycles in all tests was 10 5 . The residual MOR at static four point bending test and working diagram force-deflection was carried out as well. The impact properties after repeated loading in compression were tested by means of falling weight test. Relationships between composition of fibre composites with different combination of polypropylene (0.2, 0.3, 0.5% by volume) and steel (0.5, 0.7, and 0.8% by volume) fibre content were obtained and technological properties of mixes as well. (author)

  9. Superconducting critical temperature under pressure

    Science.gov (United States)

    González-Pedreros, G. I.; Baquero, R.

    2018-05-01

    The present record on the critical temperature of a superconductor is held by sulfur hydride (approx. 200 K) under very high pressure (approx. 56 GPa.). As a consequence, the dependence of the superconducting critical temperature on pressure became a subject of great interest and a high number of papers on of different aspects of this subject have been published in the scientific literature since. In this paper, we calculate the superconducting critical temperature as a function of pressure, Tc(P), by a simple method. Our method is based on the functional derivative of the critical temperature with the Eliashberg function, δTc(P)/δα2F(ω). We obtain the needed coulomb electron-electron repulsion parameter, μ*(P) at each pressure in a consistent way by fitting it to the corresponding Tc using the linearized Migdal-Eliashberg equation. This method requires as input the knowledge of Tc at the starting pressure only. It applies to superconductors for which the Migdal-Eliashberg equations hold. We study Al and β - Sn two weak-coupling low-Tc superconductors and Nb, the strong coupling element with the highest critical temperature. For Al, our results for Tc(P) show an excellent agreement with the calculations of Profeta et al. which are known to agree well with experiment. For β - Sn and Nb, we found a good agreement with the experimental measurements reported in several works. This method has also been applied successfully to PdH elsewhere. Our method is simple, computationally light and gives very accurate results.

  10. Vacuum mammotomy under ultrasound guidance

    International Nuclear Information System (INIS)

    Luczynska, E.; Kocurek, A.; Pawlik, T.; Aniol, J.; Herman, K.; Skotnicki, P.

    2007-01-01

    Breast ultrasound is a non-invasive method of breast examination. You can use it also for fine needle biopsy, core needle biopsy, vacuum mammotomy and for placing the '' wire '' before open surgical biopsy. 106 patients (105 women and 1 man) aged 20-71 years (mean age 46.9) were treated in Cancer Institute in Cracow by vacuum mammotomy under ultrasound guidance. The lesions found in ultrasonography were divided into three groups: benign lesions (BI RADS II), ambiguous lesions (BI RADS 0, III and IVa), and suspicious lesions (BI RADS IV B, IV C and V). Then lesions were qualified to vacuum mammotomy. According to USG, fibroadenoma or '' fibroadenoma-like '' lesions were found in 75 women, in 6 women complicated cysts, in 6 women cyst with dense fluid (to differentiate with FA), and in 19 patients undefined lesions. Fibroadenoma was confirmed in histopathology in 74% patients among patients with fibroadenoma or '' fibroadenoma-like '' lesions in ultrasound (in others also benign lesions were found). Among lesions undefined after ultrasound examination (total 27 patients) cancer was confirmed in 6 % (DCIS and IDC). In 6 patients with complicated cysts in ultrasound examination, histopathology confirmed fibroadenoma in 4 women, an intraductal lesion in 1 woman and inflamatory process in 1 woman. Also in 6 women with a dense cyst or fibroadenoma seen in ultrasound, histopathology confirmed fibroadenoma in 3 women and fibrosclerosis in 3 women. Any breast lesions undefined or suspicious after ultrasound examination should be verified. The method of verification or kind of operation of the whole lesion (vacuum mammotomy or '' wire '') depends on many factors, for example: lesion localization; lesion size; BI RADS category. (author)

  11. Behaviour of uranium under irradiation

    International Nuclear Information System (INIS)

    Adda, Y.; Mustelier, J.P.; Quere, Y.; Commissariat a l'Energie Atomique, Fontenay-aux-Roses

    1964-01-01

    The main results obtained in a study of the formation of defects caused in uranium by fission at low temperature are reported. By irradiation at 20 K. it was possible to determine the number of Frenkel pairs produced by one fission. An analysis of the curves giving the variations in electrical resistivity shows the size of the displacement spikes and the mechanism of defect creation due to fission. Irradiations at 77 K gave additional information, showing behaviour differences in the case of recrystallised and of cold worked uranium. The diffusion of rare gases was studied using metal-rare gas alloys obtained by electrical discharge, and samples of irradiated uranium. Simple diffusion is only responsible for the release of the rare gases under vacuum in cases where the rare gas content is very low (very slightly irradiated U). On the other hand when the concentration is higher (samples prepared by electrical discharge) the gas is given off by the formation, growth and coalescence of bubbles; the apparent diffusion coefficient is then quite different from the true coefficient and cannot be used in calculations on swelling. The various factors governing the phenomenon of simple diffusion were examined. It was shown in particular that a small addition of molybdenum could reduce the diffusion coefficient by a factor of 100. The precipitation of gas in uranium (Kr), in silver (Kr) and in Al-Li alloy (He) have been followed by measurement of the crystal parameter and of the electrical resistivity, and by electron microscope examination of thin films. The important part played by dislocations in the generation and growth of bubbles has been demonstrated, and it has been shown also that precipitation of bubbles on the dislocation lattice could block the development of recrystallisation. The results of these studies were compared with observations made on the swelling of uranium and uranium alloys U Mo and U Nb strongly irradiated between 400 and 700 C. In the case of Cubic

  12. Science Underlying 2008 Nobel Prizes

    Science.gov (United States)

    Caldwell, Bernadette A.

    2009-01-01

    JCE offers a wealth of materials for teaching and learning chemistry that you can explore online. In the list below, Bernadette Caldwell of the Editorial Staff suggests additional resources that are available through JCE for teaching the science behind some of the 2008 Nobel Prizes . Discovering and Applying the Chemistry of GFP The Royal Swedish Academy of Sciences awarded the 2008 Nobel Prize in Chemistry for the discovery and development of the green fluorescent protein, GFP to three scientists: Osamu Shimomura, Martin Chalfie, and Roger Y. Tsien. These scientists led the field in discovering and introducing a fluorescing protein from jellyfish into cells and genes under study, which allows researchers to witness biochemistry in action. Now tags are available that emit light in different colors, revealing myriad biological processes and their interactions simultaneously. Identifying HPV and HIV, HIV's Replication Cycle, and HIV Virus-Host Interactions The Nobel Assembly at Karolinska Institutet awarded the 2008 Nobel Prize in Medicine or Physiology for their discovery of human immunodeficiency virus (HIV) to two scientists: Françoise Barré-Sinoussi and Luc Montagnier; and for his discovery of human papilloma viruses [HPV] causing cervical cancer to one scientist, Harald zur Hausen. Diseases caused by these infectious agents significantly affect global health. While isolating and studying the virus, researchers discovered HIV is an uncommon retrovirus that infects humans and relies on the host to make its viral DNA, infecting and killing the host's white blood cells, ultimately destroying the immune systems of infected humans. Related Resources at JCE Online The Journal has published articles relating to GFP specifically, and more generally to fluorescing compounds applied to biochemistry. The Journal has also published an article and a video on protease inhibition—a strategy to suppress HIV's biological processes. With the video clips, an accompanying guide

  13. Page | 14 STATES' CRIMINAL JURISDICTION UNDER ...

    African Journals Online (AJOL)

    Fr. Ikenga

    The criminal jurisdiction of a State's courts under international law is primarily territorial.25 Only under ..... Attorney General of the Government .... also P. Sands, ''After Pinochet : the role of national courts'' in P. Sands (ed) From Nuremberg to ...

  14. Open hemorrhoidectomy under local anesthesia for symptomatic ...

    African Journals Online (AJOL)

    standard treatment for prolapsed hemorrhoids. The procedure is commonly done under general or regional anesthesia. This study is aimed to assess the feasibility and tolerability of open – hemorrhoidectomy under local anaesthesia in our setting.

  15. Snowballing and flying under the radar

    DEFF Research Database (Denmark)

    Pötz, Katharina Anna; Hjortsø, Carsten Nico Portefée

    2013-01-01

    management and venture development paths. More specifically, flying under radar in terms of operating under lower institutional requirements, and slowly accumulating resources (snowballing) are major leveraging strategies. We integrate our results into a hypothesized framework for resource management in East...

  16. Optimal taxation of exhaustible resource under monopoly

    International Nuclear Information System (INIS)

    Im, Jeong-Bin

    2002-01-01

    This paper deals with the problem of using taxes (or subsidies) to correct the inefficient resource allocation under monopoly. In this paper, the question raised is 'what would be the optimal tax on resource extraction under monopoly?' Ultimately, it is shown that taxes may be devised to generate price and extraction paths under monopoly that are identical to those under the competitive equilibrium. Tax policy can thus be used as an instrument for changing the distortionary resource allocation generated by the monopolist

  17. Tvangslånene. Om fiskale forhold i Slesvig under og efter Treårskrigen

    DEFF Research Database (Denmark)

    Clausen, Thomas

    2013-01-01

    the districts of the region. However, only the two first were actually collected as the final one was decided just a few months before the end of the war. The compulsory loans were a war tax, with the particular characteristic though, that in principle those citizens who contributed enjoyed status as creditors...... by each district issuing interest-bearing loan certificates to citizens in exchange for cash. They passed the yield on to the Schleswig-Holstein treasury that in its turn issued bonds to the district authorities. The second loan was raised in April 1850 with the purpose of covering the deficit created...... or after some persuasion, seeing it as a civil duty and/or a sensible investment. On a number of occasions though, especially in the northern districts where pro-Danish sentiments prevailed, local residents would only pay up after threats by central authorities to take possession by military execution...

  18. Individual modulation of pain sensitivity under stress.

    Science.gov (United States)

    Reinhardt, Tatyana; Kleindienst, Nikolaus; Treede, Rolf-Detlef; Bohus, Martin; Schmahl, Christian

    2013-05-01

    Stress has a strong influence on pain sensitivity. However, the direction of this influence is unclear. Recent studies reported both decreased and increased pain sensitivities under stress, and one hypothesis is that interindividual differences account for these differences. The aim of our study was to investigate the effect of stress on individual pain sensitivity in a relatively large female sample. Eighty female participants were included. Pain thresholds and temporal summation of pain were tested before and after stress, which was induced by the Mannheim Multicomponent Stress Test. In an independent sample of 20 women, correlation coefficients between 0.45 and 0.89 indicated relatively high test-retest reliability for pain measurements. On average, there were significant differences between pain thresholds under non-stress and stress conditions, indicating an increased sensitivity to pain under stress. No significant differences between non-stress and stress conditions were found for temporal summation of pain. On an individual basis, both decreased and increased pain sensitivities under stress conditions based on Jacobson's criteria for reliable change were observed. Furthermore, we found significant negative associations between pain sensitivity under non-stress conditions and individual change of pain sensitivity under stress. Participants with relatively high pain sensitivity under non-stress conditions became less sensitive under stress and vice versa. These findings support the view that pain sensitivity under stress shows large interindividual variability, and point to a possible dichotomy of altered pain sensitivity under stress. Wiley Periodicals, Inc.

  19. Consistency of the MLE under mixture models

    OpenAIRE

    Chen, Jiahua

    2016-01-01

    The large-sample properties of likelihood-based statistical inference under mixture models have received much attention from statisticians. Although the consistency of the nonparametric MLE is regarded as a standard conclusion, many researchers ignore the precise conditions required on the mixture model. An incorrect claim of consistency can lead to false conclusions even if the mixture model under investigation seems well behaved. Under a finite normal mixture model, for instance, the consis...

  20. Nitrogen compounds behavior under irradiation environment

    International Nuclear Information System (INIS)

    Ichikawa, Nagayoshi; Takagi, Junichi; Yotsuyanagi, Tadasu

    1991-01-01

    Laboratory experiments were performed to evaluate nitrogen compounds behavior in liquid phase under irradiation environments. Nitrogen compounds take a chemical form of ammonium ion under reducing condition by gamma irradiation, whereas ammonium ions are rather stable even under oxidizing conditions. Key reactions were pointed out and their reaction rate constants and activation energies were estimated through computer code simulation. A reaction scheme for nitrogen compounds including protonate reaction was proposed. (author)

  1. NOTES ON ARBITRABILITY UNDER ETHIOPIAN LAW Introduction ...

    African Journals Online (AJOL)

    eliasn

    highlight the conceptual underpinnings of arbitrability in general and its treatment under Ethiopian ... not arbitrable under the law of the country where enforcement is sought.”3. ♧ .... general contract provisions concerning arbitration. When parties .... principle that “anything that is not prohibited is presumed to be permitted”,.

  2. Exchange rate policy under sovereign default risk

    OpenAIRE

    Schabert, Andreas

    2011-01-01

    We examine monetary policy options for a small open economy where sovereign default might occur due to intertemporal insolvency. Under interest rate policy and floating exchange rates the equilibrium is indetermined. Under a fixed exchange rate the equilibrium is uniquely determined and independent of sovereign default.

  3. Care Professions under change - A poster

    DEFF Research Database (Denmark)

    Vedsegaard, Helle Wendner; Rask Eriksen, Tine

    Delresultaterne fra forskningsprojektet "Omsorg under forandring" præsenteres. I undersøgelsen indgår spørgskemaundersøgelse med 81 sygeplejerskestuderende og livshistoriske interviews af 9 sygeplejestuderende. På baggrund heraf opstilles 3 casekonstruktioner: Lone fra småborgerskabet, Mette fra ...

  4. PRISONERS' RIGHTS UNDER THE NIGERIAN LAW: LEGAL ...

    African Journals Online (AJOL)

    RAYAN_

    have total assurance of enjoyment of the freedom of personal liberty under the law .... 11 National Human Rights Commission Nigeria Report of Prison Audit, 2009, p. 129. ..... Prisons Act also provides that the Director of the Nigerian Prison Service ..... punishment under any circumstances.95 This principle should, therefore,.

  5. Simulations of biopolymer networks under shear

    NARCIS (Netherlands)

    Huisman, Elisabeth Margaretha

    2011-01-01

    In this thesis we present a new method to simulate realistic three-dimensional networks of biopolymers under shear. These biopolymer networks are important for the structural functions of cells and tissues. We use the method to analyze these networks under shear, and consider the elastic modulus,

  6. water infiltration, conductivity and runoff under fallow

    African Journals Online (AJOL)

    Measurements of runoff was done during the long rains of. 2003 and short rains of 2004. Infiltration was invariably higher under agroforestry systems (P<0.001) than sole cropping, particularly under Alnus and Calliandra systems. A similar pattern was observed for saturated hydraulic conductivity (Ksat), which was greater in ...

  7. A model for phase stability under irradiation

    International Nuclear Information System (INIS)

    Abromeit, C.

    The combination of two theoretical models leads to modified criteria of stability of precipitates under heavy particle irradiation. The size of existing or under irradiation newly formed precipitates is limited by a stable radius. Precipitate surface energy effects are included in a consistent manner

  8. Stop-loss premiums under dependence

    NARCIS (Netherlands)

    Albers, Willem/Wim

    1999-01-01

    Stop-loss premiums are typically calculated under the assumption that the insured lives in the underlying portfolio are independent. Here we study the effects of small departures from this assumption. Using Edgeworth expansions, it is made transparent which configurations of dependence parameters

  9. Phase transitions in solids under high pressure

    CERN Document Server

    Blank, Vladimir Davydovich

    2013-01-01

    Phase equilibria and kinetics of phase transformations under high pressureEquipment and methods for the study of phase transformations in solids at high pressuresPhase transformations of carbon and boron nitride at high pressure and deformation under pressurePhase transitions in Si and Ge at high pressure and deformation under pressurePolymorphic α-ω transformation in titanium, zirconium and zirconium-titanium alloys Phase transformations in iron and its alloys at high pressure Phase transformations in gallium and ceriumOn the possible polymorphic transformations in transition metals under pressurePressure-induced polymorphic transformations in АIBVII compoundsPhase transformations in AIIBVI and AIIIBV semiconductor compoundsEffect of pressure on the kinetics of phase transformations in iron alloysTransformations during deformation at high pressure Effects due to phase transformations at high pressureKinetics and hysteresis in high-temperature polymorphic transformations under pressureHysteresis and kineti...

  10. Decision-Making under Criteria Uncertainty

    Science.gov (United States)

    Kureychik, V. M.; Safronenkova, I. B.

    2018-05-01

    Uncertainty is an essential part of a decision-making procedure. The paper deals with the problem of decision-making under criteria uncertainty. In this context, decision-making under uncertainty, types and conditions of uncertainty were examined. The decision-making problem under uncertainty was formalized. A modification of the mathematical decision support method under uncertainty via ontologies was proposed. A critical distinction of the developed method is ontology usage as its base elements. The goal of this work is a development of a decision-making method under criteria uncertainty with the use of ontologies in the area of multilayer board designing. This method is oriented to improvement of technical-economic values of the examined domain.

  11. Under treated Breast Cancer in the Elderly

    International Nuclear Information System (INIS)

    Malik, M.K.; Tartter, P.I.; Belfer, R.

    2013-01-01

    The effect of under treatment with adjuvant hormonal therapy, chemotherapy, or radiation was studied in elderly women with breast cancer. A prospectively maintained database was used to identify women undergoing potentially curative surgery between 1978 and 2012. The presentation, pathologic findings, treatment, and outcomes of 382 women over 70 were compared to the findings in 2065 younger patients. Subsequently, conventionally treated and under treated elderly patients were identified and their characteristics and outcomes were compared. Both young and old patients presented most frequently with mammographic findings, but older patients presented more frequently with mammographic masses while younger patients presented more frequently with mammographic calcifications. Cancers of older patients were significantly more favorable than cancers in younger patients: smaller, with more infiltrating lobular, fewer ductal carcinoma in situ, and more frequently estrogen receptor positive and fewer were poorly differentiated. Elderly patients had less axillary sampling, fewer mastectomies, less adjuvant radiation therapy, and more hormonal therapy. Fifty-one percent of the 382 elderly patients were under treated by conventional criteria. Under treated patients were more frequently in situ, better differentiated, smaller, and more often estrogen receptor positive. Forty-four percent of the under treated patients died during followup without disease recurrence. Despite under treatment, local and distant disease-free survival was comparable to patients who were not under treated.

  12. Turkey; Third and Fourth Reviews Under the Stand-By Arrangement and Request for Waiver of Performance Criteria-Staff Report; Staff Supplement, Press Release on the Executive Board Discussion; and Statement by the Executive Director for Turkey

    OpenAIRE

    International Monetary Fund

    2006-01-01

    Although Turkey’s economic performance has been strong, growing external imbalances exposed the country to a reversal of sentiment. In the wake of recent market turbulence, the authorities have recommitted to strong policies and stepped up program implementation. The authorities’ commitment to tighter fiscal policy will help preserve market confidence and resume disinflation. These delays are wide ranging, including on the landmark pension reform, tax reform, bank supervision, and state bank ...

  13. Polymers preparation under methane plasma environment

    International Nuclear Information System (INIS)

    Yang Wubao; Cai Zeyong; Zhao Zhen; Qi Lu

    2008-01-01

    Polymers are prepared under methane plasma environment, and appear to be white, slightly yellow, soft thread-like powders and floc under optical microscope. The polymers contain --CH 3 , -CH 2 , C-O, -C=C-,-OH etc. functional groups, but no simplex carbons. It is found that the solubility of this polymer is less than 0.1mg·ml -1 in different organic solvent. The productivity of the polymers is higher under a plasma environment with higher ionization, higher polarization of neutral gas, lower environment temperature and less permittivity. (authors)

  14. Bucket foundations under lateral cyclic loading

    DEFF Research Database (Denmark)

    Foglia, Aligi

    failure envelopes. A jacked installation test is successfully compared with existing models. Tests of bucket foundations under lateral loading applied at different loading rates are analysed. As expected, the bearing capacity of bucket foundations under transient lateral loading increases dramatically...... documents on bearing capacity and installation of bucket foundations are reviewed and the results from the models found in literature are compared to the experimental results obtained in the current study. Monotonic tests of bucket foundations under lateral loading until failure are compared with existing...

  15. La educación sentimental: apunte de pedagogía narrativa

    Directory of Open Access Journals (Sweden)

    Alfredo Fierro Bardají

    2012-01-01

    Full Text Available Desde los griegos se ha educado en el amor y otros sentimientos principalmente por medio de relatos ejemplares. Es así todavía como en el siglo XIX la novela ha contribuido mucho a propagar el amor pasional como prototipo. En la actualidad el amor romántico continúa siendo uno de los arquetipos ideales de amor, pero hay ya otros tipos, que llegan a los jóvenes no tanto por la lectura de relatos, cuanto por el cine y las revistas y programas televisivos del corazón. El autor defiende que el enfoque de una Pedagogía narrativa sigue siendo válido en esta materia. El artículo termina con una mención de las reglas para una buena relación de pareja según el modelo de amor- intimidad-compromiso de Sternberg.

  16. Sentiments and Perspectives of Academics about Massive Open Online Courses (MOOCs)

    Science.gov (United States)

    Fong, Jack

    2017-01-01

    Massive open online courses (MOOCs) have made a dramatic entry into higher education. Promising to provide an affordable, if not free, education, MOOCs are celebrated for promoting learning in lieu of the physical classroom. This exploratory study employs content analysis to make visible how MOOCs are viewed by academically oriented observers.…

  17. Comparative Visual Analysis of Large Customer Feedback Based on Self-Organizing Sentiment Maps

    OpenAIRE

    Janetzko, Halldór; Jäckle, Dominik; Schreck, Tobias

    2013-01-01

    Textual customer feedback data, e.g., received by surveys or incoming customer email notifications, can be a rich source of information with many applications in Customer Relationship Management (CRM). Nevertheless, to date this valuable source of information is often neglected in practice, as service managers would have to read manually through potentially large amounts of feedback text documents to extract actionable information. As in many cases, a purely manual approach is not feasible, w...

  18. Explaining Anti-U.S. Military Base Sentiment in South Korea

    Science.gov (United States)

    2017-06-01

    transition. Thus, Roh dismissed the initial succession plan and assured the public a general vote for the upcoming presidential selection . Upon his...military member was accused of killing an innocent college student at a fast food restaurant in Itawon. Furthermore, the U.S. armored vehicle accident

  19. Online Environmental Citizenship: Blogs, Green Marketing and consumer sentiment in the 21st Century

    OpenAIRE

    Luck, Edwina; Ginanti, Ayu

    2013-01-01

    Consumers’ environmental consciousness is widespread with public acceptance of the global environmental crisis causing shifts in the debates within the environmental movement. The last three decades have seen consumers’ environmental consciousness grow as the environment has become a mainstream issue encouraging individual, government and company rethinking. Our longitudinal, empirical research findings are innovative and contribute by exploring global green blog sites using a content analysi...

  20. Modeling investor sentiment and overconfidence in an agent-based stock market

    NARCIS (Netherlands)

    Lovric, M.; Kaymak, U.; Spronk, J.

    2010-01-01

    Agent-based stock markets as bottom-up models of financial markets allow us to study the link between individual investor behavior and aggregate market phenomena, and as such are a useful tool for investigating the implications of behavioral finance and investor psychology. In this paper we want to