Role of sentiment classification in sentiment analysis: a survey

M R, Pavan Kumar ; J, Prabhu

Abstract

Through a survey of literature, the role of sentiment classification in sentiment analysis has been reviewed. The review identifies the research challenges involved in tackling sentiment classification. A total of 68 articles during 2015 – 2017 have been reviewed on six dimensions viz., sentiment classification, feature extraction, cross-lingual sentiment classification, cross-domain sentiment classification, lexica and corpora creation and multi-label sentiment classification. This study discusses the prominence and effects of sentiment classification in sentiment evaluation and a lot of further research needs to be done for productive results.



Keyword(s)

Accuracy; Binary Classification; Dataset; Lexicon; Machine learning; Sentiment analysis


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