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

Infodemiology and Infoveillance (1454) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1787) Obesity (95) Natural Language Processing (800)

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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???? New research paper alert! ????Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study. Read the article here: https://t.co/UnWcO7usGd #ResearchGMMH #mentalhealth #obesity #publichealth https://t.co/ToVcqqjgQY

11:30 AM · Apr 07, 2025

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