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

Digital Health Reviews (1781) Artificial Intelligence (2252) Machine Learning (2173) Natural Language Processing (937) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2210) Depression and Mood Disorders; Suicide Prevention (1735) Digital Biomarkers and Digital Phenotyping (304)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82686, first published .
Text-Based Depression Estimation Using Machine Learning With Standard Labels: Systematic Review and Meta-Analysis

Text-Based Depression Estimation Using Machine Learning With Standard Labels: Systematic Review and Meta-Analysis

Text-Based Depression Estimation Using Machine Learning With Standard Labels: Systematic Review and Meta-Analysis

Authors of this article:

Shengming Zhang1 Author Orcid Image ;   Chaohai Zhang1 Author Orcid Image ;   Jiaxin Zhang1, 2 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Shengming Zhang   1 , MSc, BSc ;   Chaohai Zhang   1 , BSc ;   Jiaxin Zhang   1, 2 , PhD

1 School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, Guangdong, China

2 Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, Guangdong, China

Corresponding Author:

  • Jiaxin Zhang, PhD
  • School of Automation and Intelligent Manufacturing
  • Southern University of Science and Technology
  • 1088 Xueyuan Avenue, Nanshan District
  • Shenzhen, Guangdong 518055
  • China
  • Phone: 86 13416141690
  • Email: zhangjx@sustech.edu.cn