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

Infodemiology and Infoveillance (1321) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1607) Obesity (70) Natural Language Processing (674)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52142, first published .
Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study

Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study

Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study

Authors of this article:

Jorge César Correia1 Author Orcid Image ;   Sarmad Shaharyar Ahmad2 Author Orcid Image ;   Ahmed Waqas3 Author Orcid Image ;   Hafsa Meraj4 Author Orcid Image ;   Zoltan Pataky1 Author Orcid Image
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