Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/45389
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dc.contributor.authorKumar, Pavan M R-
dc.contributor.authorPrabhu, J-
dc.date.accessioned2018-11-06T10:25:59Z-
dc.date.available2018-11-06T10:25:59Z-
dc.date.issued2018-09-
dc.identifier.issn0975-2404 (Online); 0972-5423 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/45389-
dc.description196-209en_US
dc.description.abstractThrough 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.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceALIS Vol.65(3) [September 2018]en_US
dc.subjectAccuracyen_US
dc.subjectBinary Classificationen_US
dc.subjectDataseten_US
dc.subjectLexiconen_US
dc.subjectMachine learningen_US
dc.subjectSentiment analysisen_US
dc.titleRole of sentiment classification in sentiment analysis: a surveyen_US
dc.typeArticleen_US
Appears in Collections:ALIS Vol.65(3) [September 2018]

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