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

Infoveillance and Social Listening (400) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2657) Natural Language Processing (1256) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1397) Data Science (693) Outbreak and Pandemic Preparedness and Management (1959) Theme Issue: Medical Informatics and COVID-19 (171) Early Results from COVID-19 Studies (456) Policy for Infodemiology and Infodemic Management (16) Data Sources and Open Data for Infodemiology (40)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53434, first published .
Two young Muslim women in hijabs looking at smartphones at a cafe.

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 (4) 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

Books/Policy Documents

  1. Prajapati A, Mohammadi A, Saraee M. Data Science, AI and Applications. View
  2. Lagili L, Gorrab S, Achour H. Artificial Intelligence and its Practical Applications. View

Conference Proceedings

  1. Lagili L, Gorrab S, Achour H. 2026 Intelligence in Business and Industry (IBI). TunVeCTM: A Topic Modeling Approach of Tunisian Dialect on Social Media View