A Study and Comparison of Sentiment Analysis Techniques Using Demonetization

Author:

Mohbey Krishna Kumar1ORCID,Bakariya Brijesh2,Kalal Vishakha1

Affiliation:

1. Central University of Rajasthan, India

2. I. K. Gujral Punjab Techncial University, India

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.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Urdu Sentiment Analysis;Applied Computer Systems;2022-06-01

2. A comprehensive survey on sentiment analysis: Approaches, challenges and trends;Knowledge-Based Systems;2021-08

3. Advertisement Prediction in Social Media Environment Using Big Data Framework;Intelligent Systems Reference Library;2019-07-18

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