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

Reviews in Digital Mental Health (225) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1553) e-Mental Health and Cyberpsychology (1388) Peer-to-Peer Support and Online Communities (594) Depression and Mood Disorders; Suicide Prevention (1273) Machine Learning (1373) Artificial Intelligence (1189) Mass Media/Social Media Communication and Campaigns (446)

Published on in Vol 9, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27244, first published .
Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

Authors of this article:

Danxia Liu1 Author Orcid Image ;   Xing Lin Feng2 Author Orcid Image ;   Farooq Ahmed3, 4 Author Orcid Image ;   Muhammad Shahid5 Author Orcid Image ;   Jing Guo2 Author Orcid Image
Article Authors Cited by (30) Tweetations (4) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually