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Publikováno v:
Web of Science
PLoS ONE, Vol 15, Iss 9, p e0239441 (2020)
PLoS ONE, Vol 15, Iss 9, p e0239441 (2020)
The study aims to understand Twitter users' discourse and psychological reactions to COVID-19. We use machine learning techniques to analyze about 1.9 million Tweets (written in English) related to coronavirus collected from January 23 to March 7, 20