Cargando…
Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses
BACKGROUND: Internalizing mental illnesses associated with psychological distress are often underdetected. Text-based detection using natural language processing (NLP) methods is increasingly being used to complement conventional detection efforts. However, these approaches often rely on self-disclo...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391726/ https://www.ncbi.nlm.nih.gov/pubmed/34387556 http://dx.doi.org/10.2196/29500 |
_version_ | 1783743342088028160 |
---|---|
author | Manabe, Masae Liew, Kongmeng Yada, Shuntaro Wakamiya, Shoko Aramaki, Eiji |
author_facet | Manabe, Masae Liew, Kongmeng Yada, Shuntaro Wakamiya, Shoko Aramaki, Eiji |
author_sort | Manabe, Masae |
collection | PubMed |
description | BACKGROUND: Internalizing mental illnesses associated with psychological distress are often underdetected. Text-based detection using natural language processing (NLP) methods is increasingly being used to complement conventional detection efforts. However, these approaches often rely on self-disclosure through autobiographical narratives that may not always be possible, especially in the context of the collectivistic Japanese culture. OBJECTIVE: We propose the use of narrative writing as an alternative resource for mental illness detection in youth. Accordingly, in this study, we investigated the textual characteristics of narratives written by youth with psychological distress; our research focuses on the detection of psychopathological tendencies in written imaginative narratives. METHODS: Using NLP tools such as stylometric measures and lexicon-based sentiment analysis, we examined short narratives from 52 Japanese youth (mean age 19.8 years, SD 3.1) obtained through crowdsourcing. Participants wrote a short narrative introduction to an imagined story before completing a questionnaire to quantify their tendencies toward psychological distress. Based on this score, participants were categorized into higher distress and lower distress groups. The written narratives were then analyzed using NLP tools and examined for between-group differences. Although outside the scope of this study, we also carried out a supplementary analysis of narratives written by adults using the same procedure. RESULTS: Youth demonstrating higher tendencies toward psychological distress used significantly more positive (happiness-related) words, revealing differences in valence of the narrative content. No other significant differences were observed between the high and low distress groups. CONCLUSIONS: Youth with tendencies toward mental illness were found to write more positive stories that contained more happiness-related terms. These results may potentially have widespread implications on psychological distress screening on online platforms, particularly in cultures such as Japan that are not accustomed to self-disclosure. Although the mechanisms that we propose in explaining our results are speculative, we believe that this interpretation paves the way for future research in online surveillance and detection efforts. |
format | Online Article Text |
id | pubmed-8391726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-83917262021-09-03 Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses Manabe, Masae Liew, Kongmeng Yada, Shuntaro Wakamiya, Shoko Aramaki, Eiji JMIR Form Res Original Paper BACKGROUND: Internalizing mental illnesses associated with psychological distress are often underdetected. Text-based detection using natural language processing (NLP) methods is increasingly being used to complement conventional detection efforts. However, these approaches often rely on self-disclosure through autobiographical narratives that may not always be possible, especially in the context of the collectivistic Japanese culture. OBJECTIVE: We propose the use of narrative writing as an alternative resource for mental illness detection in youth. Accordingly, in this study, we investigated the textual characteristics of narratives written by youth with psychological distress; our research focuses on the detection of psychopathological tendencies in written imaginative narratives. METHODS: Using NLP tools such as stylometric measures and lexicon-based sentiment analysis, we examined short narratives from 52 Japanese youth (mean age 19.8 years, SD 3.1) obtained through crowdsourcing. Participants wrote a short narrative introduction to an imagined story before completing a questionnaire to quantify their tendencies toward psychological distress. Based on this score, participants were categorized into higher distress and lower distress groups. The written narratives were then analyzed using NLP tools and examined for between-group differences. Although outside the scope of this study, we also carried out a supplementary analysis of narratives written by adults using the same procedure. RESULTS: Youth demonstrating higher tendencies toward psychological distress used significantly more positive (happiness-related) words, revealing differences in valence of the narrative content. No other significant differences were observed between the high and low distress groups. CONCLUSIONS: Youth with tendencies toward mental illness were found to write more positive stories that contained more happiness-related terms. These results may potentially have widespread implications on psychological distress screening on online platforms, particularly in cultures such as Japan that are not accustomed to self-disclosure. Although the mechanisms that we propose in explaining our results are speculative, we believe that this interpretation paves the way for future research in online surveillance and detection efforts. JMIR Publications 2021-08-12 /pmc/articles/PMC8391726/ /pubmed/34387556 http://dx.doi.org/10.2196/29500 Text en ©Masae Manabe, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki. Originally published in JMIR Formative Research (https://formative.jmir.org), 12.08.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Manabe, Masae Liew, Kongmeng Yada, Shuntaro Wakamiya, Shoko Aramaki, Eiji Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses |
title | Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses |
title_full | Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses |
title_fullStr | Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses |
title_full_unstemmed | Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses |
title_short | Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses |
title_sort | estimation of psychological distress in japanese youth through narrative writing: text-based stylometric and sentiment analyses |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391726/ https://www.ncbi.nlm.nih.gov/pubmed/34387556 http://dx.doi.org/10.2196/29500 |
work_keys_str_mv | AT manabemasae estimationofpsychologicaldistressinjapaneseyouththroughnarrativewritingtextbasedstylometricandsentimentanalyses AT liewkongmeng estimationofpsychologicaldistressinjapaneseyouththroughnarrativewritingtextbasedstylometricandsentimentanalyses AT yadashuntaro estimationofpsychologicaldistressinjapaneseyouththroughnarrativewritingtextbasedstylometricandsentimentanalyses AT wakamiyashoko estimationofpsychologicaldistressinjapaneseyouththroughnarrativewritingtextbasedstylometricandsentimentanalyses AT aramakieiji estimationofpsychologicaldistressinjapaneseyouththroughnarrativewritingtextbasedstylometricandsentimentanalyses |