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

Infoveillance and Social Listening (222) Data Science (288) Policy for Infodemiology and Infodemic Management (10) Data Sources and Open Data for Infodemiology (17) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1718) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1068) Outbreak and Pandemic Preparedness and Management (1765) Early Results from COVID-19 Studies (318) Theme Issue: Medical Informatics and COVID-19 (111) Natural Language Processing (746)

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 Tweetations (1) Metrics

Farah Alshanik   1 , PhD ;   Rawand Khasawneh   2 , PharmD ;   Alaa Dalky   3 , PhD ;   Ethar Qawasmeh   4 , MS

1 Department of Computer Science, Faculty of Computer and Information Technology, Jordan University of Science and Technology, Irbid, Jordan

2 Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan

3 Department of Health Management and Policy, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan

4 Department of Computer Science, Faculty of Computer Science and Engineering, The Ohio State University, Columbus, OH, United States

Corresponding Author:

  • Farah Alshanik, PhD
  • Department of Computer Science
  • Faculty of Computer and Information Technology
  • Jordan University of Science and Technology
  • Alhusun St
  • Irbid, 22110
  • Jordan
  • Phone: 962 2 7201000 ext 23130
  • Fax: 962 2 7095123
  • Email: fmalshanik@just.edu.jo