This paper is in the following e-collection/theme issue:

Early Results in Infodemiology and Infoveillance (39) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1402) JMIR Theme Issue: COVID-19 Special Issue (2242) Infodemiology and Infoveillance (1127) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (923)

Published on in Vol 6 , No 9 (2022) :September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37984, first published .
Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets

Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets

Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets

Authors of this article:

Surani Matharaarachchi 1 Author Orcid Image ;   Mike Domaratzki 2 Author Orcid Image ;   Alan Katz 3 Author Orcid Image ;   Saman Muthukumarana 1 Author Orcid Image
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