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Sentiment Count and Cases Analysis of Twitter Discussions During COVID-19 Pandemic by nagaveniharakuni12 is a document available to read on EtoBox.

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This paper analyzes over 18 million COVID-19 related tweets from March 1 to May 31, 2020, using sentiment analysis to explore the relationship between public sentiment and the number of COVID-19 cases in Italy, the USA, and the UK. The study finds correlations between tweet mentions and daily increases in cases, with a predominance of negative sentiment throughout the analyzed period. The findings highlight the role of social media in shaping public discourse during the pandemic.

Author

nagaveniharakuni12

Language

EN