Various rumors and assumptions have circulated about the COVID-19 immunization, making it a heated subject of discussion in India. This prompted a reaction from the country's populace, who During the course of favorable, negative, and neutral evaluations, tweets and retweets on twitter. The number of these tweets are a jumble of unstructured data. The goal of this study is to have the statistics justify feeling implied by it. The purpose of this study is to take advantage of twitter's massive data pool and extract insights that have the implications that can be drawn from it. Comprehensive research on the people's feelings may help us arrive at a fair familiarity with the population at large's point of view toward preventing disease by vaccination. Dataset taken into consideration for vaccination-related tweets are collected for study. From 2020 to 2021, including a data mining of 16,05,152 tweets related to vaccination.
Sentiment Analysis, Twitter, Polarity, Subjectivity, Natural Language Processing (NLP)
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