Home // DATA ANALYTICS 2022, The Eleventh International Conference on Data Analytics // View article

Twitter Sentiment Analysis: A Survey in Cricket and Bollywood

Authors:
Nayantara Kotoky
Smiti Singhal
Anushka Sharma
Dhara Ajudia

Keywords: Twitter; Sentiment analysis; Text mining; Co-occurrence Network

Abstract:
Twitter has been the voice of the public for a long time now. With the rise in the usage of Twitter, the active participation of its users in expressing their views across all domains has significantly increased. This paper aims to perform sentiment analysis and study the influence of Bollywood and Cricket celebrities on Twitter users. Three different types of information are extracted from the tweets using sentiment analysis, namely, (1) sentiments of people towards cricket, cinema (Bollywood), and gender, (2) identifying the highly discussed individuals and events for each category, and (3) co-occurrence analysis for identifying closely discussed celebrities belonging to different categories. Our analysis identifies that females in the cricket sport are not as popular as compared to their male counterparts whereas females in the entertainment industry (Bollywood) are equally popular as the males. We also identify current trends that are the target of discussion in Twitter using Network of Words analysis. In addition, the co-occurrence analysis shows very high association between Male Cricketers and female Bollywood stars. In essence, we try to determine the emotional tone of people to gain an insight of the hidden attitudes and opinions expressed in a tweet regarding cricket and Bollywood.

Pages: 68 to 76

Copyright: Copyright (c) IARIA, 2022

Publication date: November 13, 2022

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-994-2

Location: Valencia, Spain

Dates: from November 13, 2022 to November 17, 2022