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An Assessment of Sentiment Analysis of Covid 19 Tweets

Journal: International Journal of Trend in Scientific Research and Development (Vol.7, No. 5)

Publication Date:

Authors : ;

Page : 534-543

Keywords : Sentiment Analysis; Twitter; Polarity; Subjectivity; Natural Language Processing (NLP);

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Abstract

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 countrys 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 twitters massive data pool and extract insights that have the implications that can be drawn from it. Comprehensive research on the peoples feelings may help us arrive at a fair familiarity with the population at larges 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. Ms. Tanzeela Qureshi | Dr. Mohit Singh Tomar | Dr. Ritu Shrivastava "An Assessment of Sentiment Analysis of Covid-19 Tweets" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59976.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/59976/an-assessment-of-sentiment-analysis-of-covid19-tweets/ms-tanzeela-qureshi

Last modified: 2024-01-09 21:05:20