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20072026
most citedPublic discourse and sentiment during the COVID-19 pandemic: using Latent Dirichlet Allocation for topic modeling on Twitter

360 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2020 · cs.SIShow all

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cs.SI2020★ 360 cited

Public discourse and sentiment during the COVID-19 pandemic: using Latent Dirichlet Allocation for topic modeling on Twitter

Jia Xue, Junxiang Chen, Chen Chen +3

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 En…