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Application of Twitter sentiment analysis in election prediction: a case study of 2019 Indian general election by Priyavrat Chauhan; Nonita Sharma; Geeta Sikka is a Computer Science article available to read on EtoBox.

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Everyone must have experienced a huge collection of political content on their social media account's home page during election time. Most of the users are busy in liking, sharing, and commenting political posts on the social media platform at that time, and these user activities show their attitude or behaviour towards the electoral or the political party. This study has mined the collective behaviour of Twitter users towards the Indian General election 2019. This work performed weekly sentiment analysis of massive Twitter content related to electoral and political parties during election time using a lexiconbased sentiment analysis approach. Based on this empirical study, the aim is to find out the feasibility of election prediction through social media analysis in a developing country like India. Further, an explorative analysis has been performed on the collected data, which gives answers to some dominant research hypotheses formulated in this paper. This paper shows how public mood can be gauged from social media content during the election period and how it can be considered as a parameter to predict the election results along with other factors. In addition, results evaluati

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Author

Priyavrat Chauhan; Nonita Sharma; Geeta Sikka

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Computer Science (Physical Sciences)