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

Development and Evaluation of Research Methods, Instruments and Tools (439) Natural Language Processing (650) Ontologies, Classifications, and Coding (226) Mental Health Issues in Adolescence (386) Methods and New Tools in Mental Health Research (428) Diagnostic Tools in Mental Health (224)

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

Authors of this article:

Masae Manabe1 Author Orcid Image ;   Kongmeng Liew1 Author Orcid Image ;   Shuntaro Yada1 Author Orcid Image ;   Shoko Wakamiya1 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

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