Covid-19 Public Sentiment Analysis for Indian Tweets Classification

TL;DR

This paper analyzes Indian COVID-19 tweets to classify public sentiment, demonstrating how social media data can reveal public opinions during significant events.

Contribution

It presents a method for extracting and analyzing sentiment from Indian COVID-19 tweets, highlighting the importance of social media in understanding public opinion.

Findings

Twitter data can effectively reflect public sentiment during COVID-19 in India

Sentiment analysis reveals positive, negative, and neutral opinions in tweets

Methodology aids in real-time monitoring of public mood during crises

Abstract

When any extraordinary event takes place in the world wide area, it is the social media that acts as the fastest carrier of the news along with the consequences dealt with that event. One can gather much information through social networks regarding the sentiments, behavior, and opinions of the people. In this paper, we focus mainly on sentiment analysis of twitter data of India which comprises of COVID-19 tweets. We show how Twitter data has been extracted and then run sentimental analysis queries on it. This is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and are either positive or negative or neutral in some cases.