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

Formative Evaluation of Digital Health Interventions (2991) AI Language Models in Health Care (147) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1948) Natural Language Processing (846)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60286, first published .
Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being

Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being

Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being

Authors of this article:

Xingwei Yang1 Author Orcid Image ;   Guang Li2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Xingwei Yang   1 , PhD ;   Guang Li   2 , PhD

1 Information Technology Management, Ted Rogers School of Management, Toronto Metropolitan University, Toronto, ON, Canada

2 Smith School of Business, Queen's University, Kingston, ON, Canada

Corresponding Author:

  • Xingwei Yang, PhD
  • Information Technology Management
  • Ted Rogers School of Management
  • Toronto Metropolitan University
  • 55 Dundas St W
  • Toronto, ON M5G 2C3
  • Canada
  • Phone: 1 416 979 5044
  • Email: nancy.yang@torontomu.ca