UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 12
December-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2112099


Registration ID:
317633

Page Number

a821-a824

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Title

Twitter Sentiment Analysis On Coronavirus Outbreak Using Machine Learning Algorithms

Abstract

Social media may be a supply that produces huge quantity of knowledge on Associate in nursing unprecedented scale. It is a platform for each person to share their views, opinions and experiences except for simply being a platform that offers data to the general public UN agency search for data on the sickness. As surprising because the prevalence of corona virus disease 2019 (COVID-19) was, it's been radically touching folks everywhere the globe, there is a requirement to analyze the opinion of individuals on the pandemic COVID-19. This paper focuses on the sentiment analysis of COVID-19 victimization twitter knowledge. The analyses are primarily based on the machine learning algorithms. this text provides Associate in Nursing analysis on however folks react to an epidemic an endemic scourge deadly disease virus virulent disease pestilence} outbreak, what quantity they're attentive to the sickness and its symptoms, what precautionary measures they are taking and whether or not or not folks are following government’s pointers etc. Understanding the posts on social media pages throughout a pandemic natural event permits health agencies and volunteers to higher assess and perceive the public's insolences, sentiments and wishes so as to deliver acceptable and effective information

Key Words

Twitter, Corona Virus, Machine Language

Cite This Article

"Twitter Sentiment Analysis On Coronavirus Outbreak Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.a821-a824, December-2021, Available :http://www.jetir.org/papers/JETIR2112099.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Twitter Sentiment Analysis On Coronavirus Outbreak Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppa821-a824, December-2021, Available at : http://www.jetir.org/papers/JETIR2112099.pdf

Publication Details

Published Paper ID: JETIR2112099
Registration ID: 317633
Published In: Volume 8 | Issue 12 | Year December-2021
DOI (Digital Object Identifier):
Page No: a821-a824
Country: Latur, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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