Sentimental Analysis of 'Aarogya Setu'

Abstract

Identifying the emotional tone behind text or simply opinion mining is in vogue these days and Twitter has been proved as the primary choice when it comes to analyzing the real live data or sentiments of its users regarding anything such as tracking of seismic activities, flu epidemic, automotive industry, academic researches, etc. In today's world, where most of the data is online on social media in an unstructured and scattered form, opinion mining turns out to be a suitable method to understand the public's views and moods. Our paper aims to study the impact of the alleged hacking of the 'Aarogya Setu' application (app) on opinions/sentiments of people towards it using sentimental analysis on twitter data. The key finding of our study is the rise in negative emotions against the Aarogya Setu app after its alleged hacking.