Methodology of Labeling According to 9 Criteria of DSM-5
Source abstract
Abstract
Depression disorder is a disease that causes a deterioration of daily function and can induce thoughts of suicide. The Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5), which is the official reference of the American Psychiatry Association and is also used in Korea to identify depressive disorders, sets nine criteria for diagnosing depressive disorders. The lack of counseling personnel, including psychiatrists, and negative social perceptions of depressive disorders prevent counselors from being treated for depressive disorders. Natural language processing-based artificial intelligence (AI) services such as chatbots can help fill this need, but labeled datasets are needed to train AI services. In this study we collected data from AI Hub wellness consultations and crawls of the Reddit website to augment and build word dictionaries and analyze morphemes using the Kind Korean Morpheme Analyzer and Word2Vec. The collected datasets were labeled based on word dictionaries built according to nine DSM-5 depressive disorder diagnostic criteria.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Mental Health via Writing · Digital Mental Health Interventions · Mental Health Research Topics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mathematics, Sungkyunkwan University, Seoul 03063, Republic of Korea
Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul 03063, Republic of Korea
Department of Human-Artificial Intelligence Interaction, Sungkyunkwan University, Seoul 03063, Republic of Korea
Funding
National Research Foundation of Korea (NRF) · Ministry of Trade, Industry & Energy (MOTIE, Korea) · Ministry of Education (MOE, Korea) and National Research Foundation of Korea(NRF) · AI Convergence Research Fund · Sungkyunkwan University, 2023 · SMC-SKKU Future Convergence Research Program
References (19)
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