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Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures
The COVID-19 outbreak is an ongoing worldwide pandemic that was announced as a global health crisis in March 2020.
An Interactive Analysis of User-reported Long COVID Symptoms using Twitter Data
With millions of documented recoveries from COVID-19 worldwide, various long-term sequelae have been observed in a large group of survivors.
Detecting Troll Tweets in a Bilingual Corpus
This paper aims to detect troll tweets in both English and Russian assuming that the tweets are generated by some {``}troll farm.
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