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ISSN No: 2349-2287 (P) | E-ISSN: 2349-2279 (O) | E-mail: editor@ijiiet.com

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International Research Journal of Infinite Innovations in Engineering and Technology (IJIIET)

| ISSN Approved Journal | Impact factor: 7.521 | Follows UGC CARE Journal Norms and Guidelines |

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | Impact factor 7.521 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing) in all Major Database & Metadata, Citation Generator

Title : COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis

Author : P.Mohan, Pradeep Burri, Kanipakam Bhanu Moorty , K.Vishnu Vardan Varma

Abstract :

Misinformation about the COVID-19 virus is spreading rapidly online, and it might be very harmful. In this work, we apply machine learning to measure COVID-19 discourse among online anti-vaccination ("anti-vax") activists. The anti-vaccine movement, we have found, isCOVID-19 has received less attention from the anti-vaccination camp ("anti-vax") than vaccination itself.However, the anti-vax community displays a wider variety of "_favors" of COVID-19 topics, and so can appeal to a larger proportion of people looking for COVID-19 guidance online, including those who are leery of a mandatory fast-tracked COVID 19 vaccine and those who are interested in alternative treatments. Therefore, it seems that the anti-vaccine movement will be more successful in attracting new supporters in the future than the pro vaccine movement will. This is worrying since it means that the globe will fall short of giving herd immunity against COVID-19, leaving nations vulnera

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