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

Early Results in Infodemiology and Infoveillance (89) Natural Language Processing (795) Infodemiology and Infoveillance (1449) Opioid and Related Substance Misuse (169) Artificial Intelligence (1704)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57395, first published .
Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods

Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods

Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods

Authors of this article:

Lisa M Gandy1 Author Orcid Image ;   Lana V Ivanitskaya2 Author Orcid Image ;   Leeza L Bacon3 Author Orcid Image ;   Rodina Bizri-Baryak2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Lisa M Gandy   1 * , PhD ;   Lana V Ivanitskaya   2 * , PhD ;   Leeza L Bacon   3 * , DHA ;   Rodina Bizri-Baryak   2 * , DHA

1 Department of Computer Science, College of Sciences and Liberal Arts, Kettering University, Flint, MI, United States

2 Department of Health Administration, The College of Health Professions, Central Michigan University, Mt Pleasant, MI, United States

3 Department of Healthcare Management, Northwood University, Midland, MI, United States

*all authors contributed equally

Corresponding Author:

  • Lisa M Gandy, PhD
  • Department of Computer Science
  • College of Sciences and Liberal Arts
  • Kettering University
  • 1700 University Ave
  • 2300 AB
  • Flint, MI, 48504
  • United States
  • Phone: 1 9898547001
  • Email: lgandy@kettering.edu