Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59002, first published .
Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Journals

  1. Amit Phadikar , Himadri Mandal . Depression Detection by Facial Emotion Recognition Using Deep Neural Network. International Journal of Latest Technology in Engineering Management & Applied Science 2025;14(10):364 View
  2. Ma C, Xiao F, Zhang J, Zuo X, Ma Y, Jiao D. Predicting psychological risk among college students using the Freshman Entrance Psychological Survey: A machine learning model based on LASSO-logistic regression. Journal of Affective Disorders 2026;398:120903 View
  3. Tan L, Yang Z, Xu Z, Xu Y, Wu X. Where is the ‘Anxious’ in climate anxiety? Evidence from Chinese social media big data. Journal of Anxiety Disorders 2026;118:103127 View

Conference Proceedings

  1. Ricoida D, Muklason A, Vinarti R, Tjahyanto A. 2025 International Seminar on Intelligent Technology and Its Applications (ISITIA). Predicting Depression via Text Analysis: A Design Science Research Approach View
  2. Lahuddin H, Tawetubun S, Darwis H, Ilmawan L, Tenripada A, Atmajaya D. 2026 20th International Conference on Ubiquitous Information Management and Communication (IMCOM). Comparative Analysis of Depression Comment Classification Using Traditional Machine Learning and Transformer-Based Models with Easy Data Augmentation View