Su Ryeon Ji
Hanyang University · Psychology
About the Lab
Professor Su Ryeon Ji'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 sentence classifiers to distinguish between depression-related statements and to quantify symptom severity across nine core depressive symptoms. The lab's work aims to improve mental health screening and intervention by leveraging real-time digital behavioral data.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
1Objective: 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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