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

Title
Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter
Authors
Keywords
COVID 19, Twitter, Emotions, Global health, Epidemiology, Fear, Coronaviruses, Critical care and emergency medicine
Journal
PLoS One
Volume 15, Issue 9, Pages e0239441
Publisher
Public Library of Science (PLoS)
Online
2020-09-26
DOI
10.1371/journal.pone.0239441

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