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

Formative Evaluation of Digital Health Interventions (5120) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3205) Natural Language Processing (1277) AI Language Models in Health Care (742)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60286, first published .
Young man looking at phone with hand on mouth, worried expression

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 (11) Tweetations Metrics

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  1. Masur L, Driller M, Suppiah H, Matzka M, Sperlich B, Düking P. Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study. JMIR Formative Research 2025;9:e71358 View
  2. Zheng H, Zhang X. Psychiatry in the age of AI: transforming theory, practice, and medical education. Frontiers in Public Health 2025;13 View
  3. Zaman K, Hasan W, Ahmed N, Li J. Peer Support in Online Women’s Health Communities: Mixed Methods Formative Analysis of Reddit Discourse. JMIR Formative Research 2026;10:e87782 View
  4. Токар П. Artificial intelligence algorithms in the diagnostics of hidden sexual disorders. Likarska sprava 2026;(1) View
  5. Allam R, Kothainayagi B, Subbiah S, Sarkar S, R S. Artificial Intelligence and Digital Technologies in Prakriti Assessment: Toward Standardized Evidence-Based Ayurvedic Practice. Journal of Ayurveda and Integrative Medicine 2026;17(5):101372 View
  6. Nazir U, Kamarudin N, Abdul Majid M. From Conversations to Insights: Analysing Social Networks for Early Mental Health Detection - A Systematic Review of Causal Inference and Deep Learning. Journal of Communication Language and Culture 2026;6(2):379 View

Books/Policy Documents

  1. Saleela D, Lucos R, Reji R, Joseph T, Shyna A, Chinchu M, Rasheed H, Panicker A. Information Systems for Intelligent Systems. View
  2. Manju Bargavi S, Raja Y, Sahoo S, Agarwal T. Natural Language Processing in Mental Health Care. View

Conference Proceedings

  1. Immanuel C, Cindyana , Cyrilla V, Meyliana . 2025 International Conference on Information Technology Research and Innovation (ICITRI). The Role of AI in Detecting and Predicting Mental Health Crises in Social Media View
  2. Rahman M, Howlader D, Bepery C, Rahaman M. 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON). Survey-Based Analysis of Social Media Behavior and Clinical Scales for Mental Health Prediction Using Machine Learning View
  3. Wardhani N, Phang A, Wulandari L, Sagala N. 2026 International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS). Exploring the Cinderella Complex in Digital Narratives: An Unsupervised Text Mining Study View