Nam Hyeok Kim
Hanyang University · Medicine
About the Lab
Professor Nam Hyeok Kim's research lab specializes in computational mental health, focusing on the application of natural language processing (NLP) and machine learning to detect and classify depression symptoms from social media text. The lab develops advanced NLP models to analyze user-generated content, enabling early identification of depressive symptoms based on standardized diagnostic criteria such as the PHQ-9. A key research direction involves training fine-tuned classifiers to distinguish between depression-related statements and non-related content, as well as quantifying symptom severity across the nine core depression symptoms. The lab's work aims to bridge digital behavioral data with clinical mental health assessment, supporting scalable and accessible mental health screening tools.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
3Objective: Although depression in modern people is emerging as a major social problem, it shows a low rate of use of mental health services. The purpose of this study was to classify sentences written by social media users based on the nine symptoms of depression in the Patient Health Questionnaire-9, using natural language processing to assess naturally users' depression based on their results. Methods: First, train two sentence classifiers: the Y/N sentence classifier, which categorizes whethe
Research Areas
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