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

Users' and Patients' Needs for Mental Health Services (293) Natural Language Processing (490) Special Issue on Computing and Mental Health (2018) (32)

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 Payton 1 Author Orcid Image ;   Lynette Kvasny Yarger 2 Author Orcid Image ;   Anthony Thomas Pinter 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (20) 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 , US

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

3 Department of Information Science , University of Colorado Boulder , Boulder , CO , US

*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
  • US
  • Phone: 1 9195132744
  • Email: fay_payton@ncsu.edu