Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/45389| Title: | Role of sentiment classification in sentiment analysis: a survey |
| Authors: | Kumar, Pavan M R Prabhu, J |
| Keywords: | Accuracy;Binary Classification;Dataset;Lexicon;Machine learning;Sentiment analysis |
| Issue Date: | Sep-2018 |
| Publisher: | NISCAIR-CSIR, India |
| 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. |
| Page(s): | 196-209 |
| ISSN: | 0975-2404 (Online); 0972-5423 (Print) |
| Appears in Collections: | ALIS Vol.65(3) [September 2018] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ALIS 65(3) 196-209.pdf | 140.15 kB | Adobe PDF | View/Open |
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