000			a
999			_c30269 _d30269
008			210521b xxu||||| |||| 00| 0 eng d
020			_a9781108486378
082			_a006.312 _bLIU
100			_aLiu, Bing
245			_aSentiment analysis : mining opinions, sentiments, and emotions
250			_a2nd ed.
260			_bCambridge University Press, _c2020 _aCambridge :
300			_axvii, 431 p. ; _bill., _c24 cm
365			_b59.99 _cGBP _d105.30
490			_aStudies in natural language processing
504			_aIncludes bibliographical references and index.
520			_aSentiment 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
650			_aComputational linguistics
650			_aData mining
650			_aPublic opinion
650			_aData processing
650			_aNatural language processing
650			_aDiscourse analysis
650			_aComputer science
650			_aLanguage and emotions
650			_aAspect extraction
650			_aContext - dependent sentiment
650			_aEmotion lexicon
650			_aEntity resolution
650			_aFact - implied opinion
650			_aIntensifier
650			_aLexicon - based approach
650			_aOpinion Parser
650			_aSarcasm
650			_aFake review detection
650			_a Spam detection
942			_2ddc _cBK