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

Scientific Reports
Jina KimJinyoung Han

Abstract

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.

References

Feb 4, 2010·The Journal of Adolescent Health : Official Publication of the Society for Adolescent Medicine·Justin Hunt, Daniel Eisenberg
Aug 27, 2010·Qualitative Health Research·David C Giles, Julie Newbold
Nov 22, 2011·Epilepsy & Behavior : E&B·Paul WicksJames Heywood
Jul 13, 2012·Biological Psychiatry·Jorge Renner Cardoso de Almeida, Mary Louise Phillips

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Citations

Mar 9, 2021·Journal of Medical Internet Research·Jina KimEunil Park

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Software Mentioned

learn
Reddit
sckit
Adam
XGBoost
Linguistic Inquiry and Word Count ( LIWC )
word2vec API
Gensim

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