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

Infoveillance and Social Listening (228) Data Science (297) Policy for Infodemiology and Infodemic Management (11) Data Sources and Open Data for Infodemiology (19) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1750) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1078) Outbreak and Pandemic Preparedness and Management (1775) Early Results from COVID-19 Studies (326) Theme Issue: Medical Informatics and COVID-19 (116) Natural Language Processing (767)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53434, first published .
Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: Topic Modeling and Sentiment Analysis Approach

Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: Topic Modeling and Sentiment Analysis Approach

Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: Topic Modeling and Sentiment Analysis Approach

Authors of this article:

Farah Alshanik1 Author Orcid Image ;   Rawand Khasawneh2 Author Orcid Image ;   Alaa Dalky3 Author Orcid Image ;   Ethar Qawasmeh4 Author Orcid Image
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Alshanik F, Khasawneh R, Dalky A, Qawasmeh E Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: Topic Modeling and Sentiment Analysis Approach JMIR Infodemiology 2025;5:e53434 URL: https://t.co/YPA89AeVRO DOI: 10.2196/53434 https://t.co/iCRGwXWBXA

6:35 PM · Feb 10, 2025

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