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

Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1667) Obesity (87) Natural Language Processing (708)

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
Article Authors Cited by Tweetations Metrics

Jorge César Correia   1 , MD ;   Sarmad Shaharyar Ahmad   2 , MSc ;   Ahmed Waqas   3 , MBBS, PhD ;   Hafsa Meraj   4 , MBBS ;   Zoltan Pataky   1 , MD

1 Unit of Therapeutic Patient Education, WHO Collaborating Center, University Hospitals of Geneva and University of Geneva, Geneva, Switzerland

2 School of Mathematics, Computer Science & Engineering, Liverpool Hope University, Liverpool, United Kingdom

3 Department of Primary Care & Mental Health, Institute of Population Health, University of Liverpool, Liverpool, United Kingdom

4 Greater Manchester Mental Health NHS Foundation Trust, Salford, United Kingdom

Corresponding Author:

  • Jorge César Correia, MD
  • Unit of Therapeutic Patient Education
  • WHO Collaborating Center
  • University Hospitals of Geneva and University of Geneva
  • Chemin Venel 7
  • Geneva, 1206
  • Switzerland
  • Phone: 41 (0)22 372 9722
  • Email: JorgeCesar.Correia@hcuge.ch