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

Depression and Mood Disorders; Suicide Prevention (1691) Natural Language Processing (917) Mental Health Surveillance and Epidemiology (95) mHealth for Data Collection and Research (1196) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) New Methods (1134)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58259, first published .
Natural Language Processing for Depression Prediction on Sina Weibo: Method Study and Analysis

Natural Language Processing for Depression Prediction on Sina Weibo: Method Study and Analysis

Natural Language Processing for Depression Prediction on Sina Weibo: Method Study and Analysis

Authors of this article:

Zhenwen Zhang1 Author Orcid Image ;   Jianghong Zhu1 Author Orcid Image ;   Zhihua Guo1 Author Orcid Image ;   Yu Zhang1 Author Orcid Image ;   Zepeng Li1 Author Orcid Image ;   Bin Hu1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Zhao J, Li Y, Chen Y, Shuid A. Developing a suicide risk prediction model for hospitalized adolescents with depression in China. Frontiers in Psychiatry 2025;16 View
  2. Hossain M, Sanjara , Hossain M, Chaki S, Rahman M, Ali A. Revolutionizing Mental Health Sentiment Analysis With BERT-Fuse: A Hybrid Deep Learning Model. IEEE Access 2025;13:85428 View
  3. Villanueva-Miranda I, Xie Y, Xiao G. Sentiment analysis in public health: a systematic review of the current state, challenges, and future directions. Frontiers in Public Health 2025;13 View
  4. Lim D, Lee K, Jo J, Lim H, Bae H, Kang C. Web-Based Platform for Quantitative Depression Risk Prediction via VAD Regression on Korean Text and Multi-Anchor Distance Scoring. Applied Sciences 2025;15(18):10170 View
  5. Ren W, Xue X, Liu L, Huang J. AI Applications in Depression Detection and Diagnosis: Bibliometric and Visual Analysis of Trends and Future Directions. JMIR Mental Health 2025;12:e79293 View
  6. Vispute D, Pawar U, Ghonge M, Shukla V, Garg L, Liu H, Tran T. Performance Comparison of Word Embedding and Sequential Models for Mental Health Classification. EPJ Web of Conferences 2025;341:01044 View