A Study and Comparison of Sentiment Analysis Techniques Using Demonetization: Case Study

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Author(s): Krishna Kumar Mohbey (Central University of Rajasthan, India), Brijesh Bakariya (I. K. Gujral Punjab Techncial University, India)and Vishakha Kalal (Central University of Rajasthan, India)
Copyright: 2022
Pages: 14
Source title: Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-6303-1.ch074

Keywords: Data Analysis and Statistics / Data Mining / Engineering Science Reference / Library & Information Science

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Abstract

Sentiment analysis is an analytical approach that is used for text analysis. The aim of sentiment analysis is to determine the opinion and subjectivity of any opinion, review, or tweet. The aim of this chapter is to study and compare some of the techniques used to classify opinions using sentiment analysis. In this chapter, different techniques of sentiment analysis have been discussed with the case study of demonetization in India during 2016. Based on the sentiment analysis, people's opinion can be classified on different polarities such as positive, negative, or neutral. These techniques will be classified on different categories based on size of data, document type, and availability. In addition, this chapter also discusses various applications of sentiment analysis techniques in different domains.

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A Study and Comparison of Sentiment Analysis Techniques Using Demonetization: Case Study

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