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

Artificial Intelligence (1371) Machine Learning (1465) Natural Language Processing (692) Peer-to-Peer Support and Online Communities (636) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Methods and New Tools in Mental Health Research (454)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24870, first published .
Machine Learning for Mental Health in Social Media: Bibliometric Study

Machine Learning for Mental Health in Social Media: Bibliometric Study

Machine Learning for Mental Health in Social Media: Bibliometric Study

Authors of this article:

Jina Kim1 Author Orcid Image ;   Daeun Lee1 Author Orcid Image ;   Eunil Park1 Author Orcid Image
Article Authors Cited by (52) Tweetations (19) Metrics

Jina Kim   1 , BSc, MSc ;   Daeun Lee   1 , BA ;   Eunil Park   1 , BSc, MSc, PhD

1 Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea

Corresponding Author:

  • Eunil Park, BSc, MSc, PhD
  • Department of Applied Artificial Intelligence
  • Sungkyunkwan University
  • 312 International Hall
  • Sungkyunkwan-ro 25-2
  • Seoul, 03063
  • Republic of Korea
  • Phone: 82 2-740-1864
  • Fax: 82 2-740-1856
  • Email: eunilpark@skku.edu