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

Users' and Patients' Needs for Mental Health Services (502) Natural Language Processing (917) Special Issue on Computing and Mental Health (2018) (33)

Published on in Vol 5, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10032, first published .
Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study

Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study

Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study

Authors of this article:

Fay Cobb Payton1 Author Orcid Image ;   Lynette Kvasny Yarger2 Author Orcid Image ;   Anthony Thomas Pinter3 Author Orcid Image
Article Authors Cited by (5) Tweetations (10) Metrics

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  1. Davidson S, Fletcher S, Wadley G, Reavley N, Gunn J, Wade D. A Mobile Phone App to Improve the Mental Health of Taxi Drivers: Single-Arm Feasibility Trial. JMIR mHealth and uHealth 2020;8(1):e13133 View
  2. Ghosh C, McVicar D, Davidson G, Shannon C. Measuring diagnostic heterogeneity using text-mining of the lived experiences of patients. BMC Psychiatry 2021;21(1) View
  3. Cho S, Bastien L, Petrovic J, Böke B, Heath N. The Role of Mental Health Stigma in University Students’ Satisfaction With Web-Based Stress Management Resources: Intervention Study. JMIR Formative Research 2024;8:e50018 View
  4. Wang V, Joo S. Mental health issues of higher education students reflected in academic research: A text mining study. Journal of American College Health 2024:1 View
  5. Tran H, Le B, Espino M, Platt C. Why is the Underrepresentation of Diverse Tenured Track Engineering Faculty Stubbornly Persistent Despite Universities’ Clarion Call for Diversity? The Perspectives of a National Sample about the Tenure Process. Journal of Higher Education Policy And Leadership Studies 2025;6(3):92 View