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|Title:||Role of sentiment classification in sentiment analysis: a survey|
|Authors:||Kumar, Pavan M R|
|Keywords:||Accuracy;Binary Classification;Dataset;Lexicon;Machine learning;Sentiment analysis|
|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.|
|ISSN:||0975-2404 (Online); 0972-5423 (Print)|
|Appears in Collections:||ALIS Vol.65(3) [September 2018]|
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