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Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
In modern times [15] "sentimental" is a pejorative term that has been casually applied to works of art and literature that exceed the viewer or reader's sense of decorum—the extent of permissible emotion—and standards of taste: "excessiveness" is the criterion; [16] "Meretricious" and "contrived" sham pathos are the hallmark of sentimentality, where the morality that underlies the work is ...
Sentiment may refer to: Feelings, and emotions; Public opinion, also called sentiment; Sentimentality, an appeal to shallow, uncomplicated emotions at the expense of reason; Sentimental novel, an 18th-century literary genre; Market sentiment, optimism or pessimism in financial and commodity markets
The three generally accepted methods of analyzing the financial markets are: technical, fundamental, and sentimental. Choosing which one to use is a matter of personal preference that develops ...
Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. [1] It can be bimodal, which includes different combinations of two modalities, or trimodal, which incorporates three modalities. [ 2 ]
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An analysis of the special elections held since November offers some clues about the party's changing fortunes. By Alissa Scheller and Daniel Marans. PUBLISHED: Monday, April 10, 2017 9:30 AM EST. UPDATED: Wednesday, May 31, 2017 6:00 PM EST
Sentiment analysis: discerning of subjective material and extracting information about attitudes: sentiment, opinion, mood, and emotion. This is done at the entity, concept, or topic level and aims to distinguish opinion holders and objects.