Exploring Public Perception and Opinion Trends on Agnipath Scheme Through Sentiment Analysis and Topic Modeling of Tweets

Microblogging is a form of online writing that allows users to share short updates or media, such as pictures and audio recordings. A variety of microblogging platforms are available, such as Plurk, Tumblr, and Emote.in, among others. Twitter, however, is the most popular and rapidly growing platform, with millions of text posts. People worldwide can express their ideas using “tweets,” which may include text, images, videos, and audio clips. Twitter is a valuable source of content uploaded and shared by users, with around 204 plus million people posting an average of 411 million tweets per day. This content can be analyzed to obtain insight into consumer perceptions on various topics, including brand reputation, events, and political and sports discussions. In India, there are several ongoing social issues, such as Covid-19 booster shots and the Agnipath scheme. In this chapter, the authors analyze tweets using lexicon-based techniques to understand the Agnipath scheme’s global reach and gauge public sentiment.