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

Early Results in Infodemiology and Infoveillance (90) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1791) JMIR Theme Issue: COVID-19 Special Issue (2496) Infodemiology and Infoveillance (1459) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1088)

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
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JMIR Formative Res: Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Soci… https://t.co/913BsomFny

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RT @jmirpub: JMIR Formative Res: Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tw…

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Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets… https://t.co/aQwu0L9Yua

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Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets https://t.co/zTHPvpSrH6

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Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets https://t.co/Z2VnKW9J6t

5:06 PM · May 16, 2023

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