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  Published Paper Details:

  Paper Title

SENTIMENT ANALYSIS ON COVID-19 TWITTER DATA

  Authors

  Justin Seby

  Keywords

nlp, sentiment analysis,

  Abstract


The COVID-19 pandemic has led to the dramatic destruction of human life worldwide and presents an unprecedented hurdle to public health, livelyhood and the world of work. The social and economical disruption caused by the pandemic is devastating. The outbreak first appeared in to spotlight in December 2019 in Wuhan, China. This was declared as a pandemic by the World Health Organization on 11th March 2020. This article analyses how people react to a pandemic outbreak, how much they are aware of the disease and its symptoms, what preventive measures they are taking, whether people are following government guidelines, etc. The experiments have been conducted on the collected data related to COVID-19 tweets from all over the world. This study was conducted to understand how people from different infected countries cope with the situation

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2108473

  Paper ID - 211452

  Page Number(s) - e222-e225

  Pubished in - Volume 9 | Issue 8 | August 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Justin Seby,   "SENTIMENT ANALYSIS ON COVID-19 TWITTER DATA", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 8, pp.e222-e225, August 2021, Available at :http://www.ijcrt.org/papers/IJCRT2108473.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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