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

Early Results in Infodemiology and Infoveillance (72) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

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 Matharaarachchi1 Author Orcid Image ;   Mike Domaratzki2 Author Orcid Image ;   Alan Katz3 Author Orcid Image ;   Saman Muthukumarana1 Author Orcid Image
Article Authors Cited by (13) Tweetations (6) Metrics

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