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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1806) Depression and Mood Disorders; Suicide Prevention (1541) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1850) Infodemiology and Infoveillance (1469) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37818, first published .
Emotion-Based Reinforcement Attention Network for Depression Detection on Social Media: Algorithm Development and Validation

Emotion-Based Reinforcement Attention Network for Depression Detection on Social Media: Algorithm Development and Validation

Emotion-Based Reinforcement Attention Network for Depression Detection on Social Media: Algorithm Development and Validation

Authors of this article:

Bin Cui1 Author Orcid Image ;   Jian Wang1 Author Orcid Image ;   Hongfei Lin1 Author Orcid Image ;   Yijia Zhang2 Author Orcid Image ;   Liang Yang1 Author Orcid Image ;   Bo Xu1 Author Orcid Image
Article Authors Cited by (15) Tweetations (3) Metrics

Journals

  1. Zhang T, Yang K, Ji S, Ananiadou S. Emotion fusion for mental illness detection from social media: A survey. Information Fusion 2023;92:231 View
  2. Aldkheel A, Zhou L. Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities. Journal of Healthcare Informatics Research 2024;8(1):88 View
  3. Mao K, Wu Y, Chen J. A systematic review on automated clinical depression diagnosis. npj Mental Health Research 2023;2(1) View
  4. TENG S, LIU J, HUANG Y, CHAI S, TATEYAMA T, HUANG X, LIN L, CHEN Y. An Intra- and Inter-Emotion Transformer-Based Fusion Model with Homogeneous and Diverse Constraints Using Multi-Emotional Audiovisual Features for Depression Detection. IEICE Transactions on Information and Systems 2024;E107.D(3):342 View
  5. Khan A, Ali R. Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media. Social Network Analysis and Mining 2024;14(1) View
  6. Anshul A, Pranav G, Rehman M, Kumar N. A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media. IEEE Transactions on Computational Social Systems 2024;11(2):2872 View
  7. Liu Y, Wang H, Zhou H, Li M, Hou Y, Zhou S, Wang F, Hoetzlein R, Zhang R. A review of reinforcement learning for natural language processing and applications in healthcare. Journal of the American Medical Informatics Association 2024;31(10):2379 View
  8. Shetty N, Singh Y, Hegde V, Cenitta D, K D. Exploring emotional patterns in social media through NLP models to unravel mental health insights. Healthcare Technology Letters 2025;12(1) View
  9. Yang X, Li G. Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being. JMIR Formative Research 2025;9:e60286 View
  10. Yan Z, Peng F, Zhang D. DECEN: A deep learning model enhanced by depressive emotions for depression detection from social media content. Decision Support Systems 2025;191:114421 View
  11. Muniyandi A, Padmanandam K, Subbaraj K, Khadidos A, Khadidos A, Deepa N, Selvarajan S. An intelligent emotion prediction system using improved sand cat optimization technique based on EEG signals. Scientific Reports 2025;15(1) View
  12. Alhazzaa L, Curcin V. Profiling Generalized Anxiety Disorder on Social Networks: Content and Behavior Analysis. Journal of Medical Internet Research 2025;27:e53399 View

Conference Proceedings

  1. Zong L, Zheng J, Zhang X, Liu X, Liang W, Xu B. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). An Early Depression Detection Model on Social Media using Emotional and Causal Features View
  2. Raja A, Murugan J, Raguraman D, Gudapalli K, Varghese S, Alam A. 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA). Deep Learning with Natural Language Processing for Emotion Detection and Classification on Social Networking View
  3. Ji N, Bouazizi M, Ohtsuki T. GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Depression Detection via User Behavior and Tweets View