Ang, Chee Siang, Venkatachala, Ranjith (2023) Generalizability of Machine Learning to Categorize Various Mental Illness Using Social Media Activity Patterns. Societies, 13 (5). Article Number 117. ISSN 2075-4698. (doi:10.3390/soc13050117) (KAR id:101272)
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Official URL: https://doi.org/10.3390/soc13050117 |
Abstract
Mental illness has recently become a global health issue, causing significant suffering in people’s lives and having a negative impact on productivity. In this study, we analyzed the generalization capacity of machine learning to classify various mental illnesses across multiple social media platforms (Twitter and Reddit). Language samples were gathered from Reddit and Twitter postings in discussion forums devoted to various forms of mental illness (anxiety, autism, schizophrenia, depression, bipolar disorder, and BPD). Following this process, information from 606,208 posts (Reddit) created by a total of 248,537 people and from 23,102,773 tweets was used for the analysis. We initially trained and tested machine learning models (CNN and Word2vec) using labeled Twitter datasets, and then we utilized the dataset from Reddit to assess the effectiveness of our trained models and vice versa. According to the experimental findings, the suggested method successfully classified mental illness in social media texts even when training datasets did not include keywords or when unrelated datasets were utilized for testing.
Item Type: | Article |
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DOI/Identification number: | 10.3390/soc13050117 |
Uncontrolled keywords: | General Social Sciences |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Funders: | University of Kent (https://ror.org/00xkeyj56) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 16 May 2023 10:39 UTC |
Last Modified: | 08 Jun 2023 11:54 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/101272 (The current URI for this page, for reference purposes) |
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