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

Users' and Patients' Needs for Mental Health Services (382) Natural Language Processing (650) 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 (3) Tweetations (11) Metrics

Fay Cobb Payton   1 * , PhD ;   Lynette Kvasny Yarger   2 * , PhD ;   Anthony Thomas Pinter   3 * , MS

1 Poole College of Management, North Carolina State University, Raleigh, NC, United States

2 College of Information Sciences and Technology, Pennsylvania State University, University Park, PA, United States

3 Department of Information Science, University of Colorado Boulder, Boulder, CO, United States

*all authors contributed equally

Corresponding Author:

  • Fay Cobb Payton, PhD
  • Poole College of Management
  • North Carolina State University
  • IT, Graduate Faculty
  • Nelson Hall 3122
  • Raleigh, NC
  • United States
  • Phone: 1 9195132744
  • Email: fay_payton@ncsu.edu