Published on in Vol 5, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29500, first published .
Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses

Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses

Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses

Journals

  1. Azuaje G, Liew K, Buening R, She W, Siriaraya P, Wakamiya S, Aramaki E. Exploring the use of AI text-to-image generation to downregulate negative emotions in an expressive writing application. Royal Society Open Science 2023;10(1) View
  2. Kang Y, McCosker A, Farmer J. Leveraging stylometry analysis to identify unique characteristics of peer support user groups in online mental health forums. Scientific Reports 2023;13(1) View
  3. Ibrahim S, Li M, Patel J, Katapally T. Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review. Computers in Biology and Medicine 2025;188:109859 View
  4. Barrios J, Poznyak E, Lee Samson J, Rafi H, Gabay S, Cafiero F, Debbané M. Detecting ADHD through natural language processing and stylometric analysis of adolescent narratives. Frontiers in Child and Adolescent Psychiatry 2025;4 View
  5. Posadas-Durán J, Ríos-Toledo G, Velázquez-Lozada E, Osuna-Coutiño J, Pérez-Patricio M, Pech May F. Learning the Style via Mixed SN-Grams: An Evaluation in Authorship Attribution. AI 2025;6(5):104 View

Conference Proceedings

  1. Haq E, Zhu Y, Lin Z, Weng H, Tyson G, Lee L, Mogavi R, Braud T, Hui P. Proceedings of the International Conference on Advances in Social Networks Analysis and Mining. Understanding Characteristics of Catalyst Users in the WallStreetBets Community View
  2. De la Puente G, Silva A, Felix R. 2024 IEEE XXXI International Conference on Electronics, Electrical Engineering and Computing (INTERCON). Development of a Chatbot Powered by Artificial Intelligence to Diagnose and Improve Stress and Anxiety Levels in University Students View