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
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.