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

Infoveillance and Social Listening (314) Data Science (358) Policy for Infodemiology and Infodemic Management (14) Data Sources and Open Data for Infodemiology (26) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1916) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1141) Outbreak and Pandemic Preparedness and Management (1827) Early Results from COVID-19 Studies (363) Theme Issue: Medical Informatics and COVID-19 (124) Natural Language Processing (918)

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
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Villa-Pérez M, Monroy R. Public opinion and emotional discourse: a study of YouTube comments on Mexican news in 2024. International Journal of Data Science and Analytics 2026;21(1) View