Sentiment analysis : mining opinions, sentiments, and emotions
- 2nd ed.
- Cambridge : Cambridge University Press, 2020
- xvii, 431 p. ; ill., 24 cm
- Studies in natural language processing .
Includes bibliographical references and index.
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences
9781108486378
Computational linguistics Data mining Public opinion Data processing Natural language processing Discourse analysis Computer science Language and emotions Aspect extraction Context - dependent sentiment Emotion lexicon Entity resolution Fact - implied opinion Intensifier Lexicon - based approach Opinion Parser Sarcasm Fake review detection Spam detection