A prompt-based topic-modeling method for depression detection on low-resource data

• Main Authors: GUO, Yanrong, LIU, Jilong, WANG, Lei, QIN, Wwi, HAO, Shijie, HONG, Richang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Depression detection; low resource; prompt learning; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/lkcsb_research/7469
• Institution: Singapore Management University

Depression has a large impact on one’s personal life, especially during the COVID-19 pandemic. People have been trying to develop reliable methods for the depression detection task. Recently, methods based on deep learning have attracted much attention from the research community. However, they stil...