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Sentiment and sentimental agent identification based on sentimental sentence dictionary
2008 International Conference on Natural Language Processing and Knowledge Engineering, 2008This paper presents a method of sentiment and sentimental agent identification based on Chinese sentimental sentence dictionary. Our method can identify eight kinds of sentiment (including joy, sorrow, love, disgust, surprise, anxiety, anger and hate), and the main sentimental agent.
Dong Liu +3 more
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Sentiment Analysis Using Sentiment Features
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013Sentiment Analysis (SA) or opinion mining has recently become the focus of many researchers, because analysis of online text is beneficial and demanded for market research, scientific surveys from psychological and sociological perspective, political polls, business intelligence, enhancement of online shopping infrastructures, etc.
Seyed Ali Bahrainian +1 more
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Sentiment Embeddings with Applications to Sentiment Analysis
IEEE Transactions on Knowledge and Data Engineering, 2016We propose learning sentiment-specific word embeddings dubbed sentiment embeddings in this paper. Existing word embedding learning algorithms typically only use the contexts of words but ignore the sentiment of texts. It is problematic for sentiment analysis because the words with similar contexts but opposite sentiment polarity, such as good and ...
Duyu Tang +5 more
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SSRN Electronic Journal, 2020
Sentiment should exhibit its strongest effects on asset prices at times when valuations are most subjective. Consistent with this hypothesis, we show that a one-standard-deviation increase in aggregate uncertainty amplifies the predictive ability of sentiment for market returns by two to four times relative to when uncertainty is at its mean.
Justin Birru, Trevor Young
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Sentiment should exhibit its strongest effects on asset prices at times when valuations are most subjective. Consistent with this hypothesis, we show that a one-standard-deviation increase in aggregate uncertainty amplifies the predictive ability of sentiment for market returns by two to four times relative to when uncertainty is at its mean.
Justin Birru, Trevor Young
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2005
AbstractSentimentality, the most easily recognizable of emotional vices, is often charged with subordinating truth to desired emotional effect. Yet there can be good reasons for doing that. Where there is fault, it lies in allowing the real importance of the object to be subordinated to its emotive utility to the agent.
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AbstractSentimentality, the most easily recognizable of emotional vices, is often charged with subordinating truth to desired emotional effect. Yet there can be good reasons for doing that. Where there is fault, it lies in allowing the real importance of the object to be subordinated to its emotive utility to the agent.
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Lexicon-based sentiment analysis by mapping conveyed sentiment to intended sentiment
International Journal of Web Engineering and Technology, 2014As 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 people's intended sentiment are crucial for today's businesses.
Alexander Hogenboom +5 more
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Leveraging Personalized Sentiment Lexicons for Sentiment Analysis
Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval, 2020We propose a novel personalized approach for the sentiment analysis task. The approach is based on the intuition that the same sentiment words can carry different sentiment weights for different users. For each user, we learn a language model over a sentiment lexicon to capture her writing style.
Dominic Seyler +4 more
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Journal of Futures Markets, 2018
AbstractBaker and Wurgler identify high sentiment betas with small startup firms that have great growth potential. On the surface, cryptocurrencies share important features in common with high sentiment beta stocks. This paper investigates the degree to which, during the period July 18, 2010–February 26, 2018, the return to bitcoin displayed the ...
Hoje Jo, Haehean Park, Hersh Shefrin
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AbstractBaker and Wurgler identify high sentiment betas with small startup firms that have great growth potential. On the surface, cryptocurrencies share important features in common with high sentiment beta stocks. This paper investigates the degree to which, during the period July 18, 2010–February 26, 2018, the return to bitcoin displayed the ...
Hoje Jo, Haehean Park, Hersh Shefrin
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Sentiment and Sentimentality in Practical Ethics
Proceedings and Addresses of the American Philosophical Association, 1982What relevance, if any, do appeals to sentiment have for issues in practical ethics? The abrupt way with the question is to respond "none; sentiment is one thing and argument is another, and nothing fogs the mind so thoroughly as emotion." Yet in discussions of every basic question in practical ethics appeals to sentiment are commonly made, sometimes ...
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