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A deep learning model for detecting mental illness from user content on social media

Users of social media often share their feelings or emotional states through their posts. In this study, we developed a deep learning model to identify a user’s mental state based on his/her posting information. To this end, we collected posts from mental health communities in Reddit. By analyzing a...

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Detalles Bibliográficos
Autores principales: Kim, Jina, Lee, Jieon, Park, Eunil, Han, Jinyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367301/
https://www.ncbi.nlm.nih.gov/pubmed/32678250
http://dx.doi.org/10.1038/s41598-020-68764-y
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author Kim, Jina
Lee, Jieon
Park, Eunil
Han, Jinyoung
author_facet Kim, Jina
Lee, Jieon
Park, Eunil
Han, Jinyoung
author_sort Kim, Jina
collection PubMed
description Users of social media often share their feelings or emotional states through their posts. In this study, we developed a deep learning model to identify a user’s mental state based on his/her posting information. To this end, we collected posts from mental health communities in Reddit. By analyzing and learning posting information written by users, our proposed model could accurately identify whether a user’s post belongs to a specific mental disorder, including depression, anxiety, bipolar, borderline personality disorder, schizophrenia, and autism. We believe our model can help identify potential sufferers with mental illness based on their posts. This study further discusses the implication of our proposed model, which can serve as a supplementary tool for monitoring mental health states of individuals who frequently use social media.
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spelling pubmed-73673012020-07-20 A deep learning model for detecting mental illness from user content on social media Kim, Jina Lee, Jieon Park, Eunil Han, Jinyoung Sci Rep Article Users of social media often share their feelings or emotional states through their posts. In this study, we developed a deep learning model to identify a user’s mental state based on his/her posting information. To this end, we collected posts from mental health communities in Reddit. By analyzing and learning posting information written by users, our proposed model could accurately identify whether a user’s post belongs to a specific mental disorder, including depression, anxiety, bipolar, borderline personality disorder, schizophrenia, and autism. We believe our model can help identify potential sufferers with mental illness based on their posts. This study further discusses the implication of our proposed model, which can serve as a supplementary tool for monitoring mental health states of individuals who frequently use social media. Nature Publishing Group UK 2020-07-16 /pmc/articles/PMC7367301/ /pubmed/32678250 http://dx.doi.org/10.1038/s41598-020-68764-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kim, Jina
Lee, Jieon
Park, Eunil
Han, Jinyoung
A deep learning model for detecting mental illness from user content on social media
title A deep learning model for detecting mental illness from user content on social media
title_full A deep learning model for detecting mental illness from user content on social media
title_fullStr A deep learning model for detecting mental illness from user content on social media
title_full_unstemmed A deep learning model for detecting mental illness from user content on social media
title_short A deep learning model for detecting mental illness from user content on social media
title_sort deep learning model for detecting mental illness from user content on social media
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367301/
https://www.ncbi.nlm.nih.gov/pubmed/32678250
http://dx.doi.org/10.1038/s41598-020-68764-y
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