Detecting sentiment dynamics and clusters of Twitter users for trending topics in COVID-19 pandemic

Title
Detecting sentiment dynamics and clusters of Twitter users for trending topics in COVID-19 pandemic
Authors
Keywords
Twitter, COVID 19, Political aspects of health, Entropy, Pandemics, Algorithms, Social media, Virus testing
Journal
PLoS One
Volume 16, Issue 8, Pages e0253300
Publisher
Public Library of Science (PLoS)
Online
2021-08-10
DOI
10.1371/journal.pone.0253300

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