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

360 citations · 360 across the 1 of their papers we have counts for

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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…