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A Review on Negation Role in Twitter Sentiment Analysis

A Review on Negation Role in Twitter Sentiment Analysis

Itisha Gupta, Nisheeth Joshi
Copyright: © 2021 |Volume: 16 |Issue: 4 |Pages: 19
ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781799859819|DOI: 10.4018/IJHISI.20211001.oa14
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MLA

Gupta, Itisha, and Nisheeth Joshi. "A Review on Negation Role in Twitter Sentiment Analysis." IJHISI vol.16, no.4 2021: pp.1-19. http://doi.org/10.4018/IJHISI.20211001.oa14

APA

Gupta, I. & Joshi, N. (2021). A Review on Negation Role in Twitter Sentiment Analysis. International Journal of Healthcare Information Systems and Informatics (IJHISI), 16(4), 1-19. http://doi.org/10.4018/IJHISI.20211001.oa14

Chicago

Gupta, Itisha, and Nisheeth Joshi. "A Review on Negation Role in Twitter Sentiment Analysis," International Journal of Healthcare Information Systems and Informatics (IJHISI) 16, no.4: 1-19. http://doi.org/10.4018/IJHISI.20211001.oa14

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Abstract

Negation is an important linguistic phenomenon that needs to be considered for identifying correct sentiments from the opinionated data available in digital form. It has the power to alter the polarity or strength of the polarity of affected words. In this paper, the authors present a survey on the negation role that has been done until now in sentiment analysis, specifically Twitter sentiment analysis. The authors discuss the various approaches of modelling negation in Twitter sentiment analysis. In particular, their focus is on negation scope detection and negation handling methods. This article also presents some of the challenges and limits of negation accounting in the field of Twitter sentiment analysis.