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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), 2013
Sentiment 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 and Uncertainty

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 and Sentimentality

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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Against 'Sentiment'

Proceedings of the 10th International Conference on Social Media and Society, 2019
The position of this paper is that sentiment analysis lacks construct validity: it systematically fails to measure emotions in text. This position is elaborated through theoretical examination of the existing approach, which is shown to allow only rough correlates of emotion confounded with other properties of texts.
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Sentimental Art and Sentimental People

2001
Abstract OSCAR Wilde is reported to have said that “one must have a heart of stone to read the death of Little Nell without laughing.” Wilde’s aphorisms often contain an element of surprise: as with many jokes, we expect one thing but get just the opposite.
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Sentiment and Sentimentality in Practical Ethics

Proceedings and Addresses of the American Philosophical Association, 1982
What 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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Bitcoin and sentiment

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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A Sentimental Patient

Cambridge Quarterly of Healthcare Ethics, 2000
Today's Zeitgeist dictates that physicians not only care for their patients, but also care deeply about them. According to a recent article in a prominent journal, “patients who are given good medical treatment are often upset or angry when they feel that their doctors do not care about them personally.” It may well be that the Zeitgeist says ...
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Lexicon-based sentiment analysis by mapping conveyed sentiment to intended sentiment

International Journal of Web Engineering and Technology, 2014
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 people's intended sentiment are crucial for today's businesses.
Alexander Hogenboom   +5 more
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Fuzzy Sentiment Membership Determining for Sentiment Classification

2014 IEEE International Conference on Data Mining Workshop, 2014
Traditional support vector machine treats all samples using the same weight. Therefore it is very sensitive to noisy data. While the fuzzy support vector machine assigns lower weights to the samples which make small contributions to classification, thus it is beneficial to reduce the effects of noisy and unimportant data on the classification accuracy ...
Chuanjun Zhao, Suge Wang, Deyu Li 0001
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