Du, Mingyu2025-06-022025-06-022025https://hdl.handle.net/1828/22325The rapid development of large language models has demonstrated successful performance in various areas. In terms of mental health, large language models exhibit the capability to understand emotional feeling to some extent. However, research in the mental health field requires a broad range of interdisciplinary knowledge and is often constrained by limited resources. This project focuses on the analysis of sentiment in conversational texts using large language models and investigating the model performances. By comparing 8 different open source models, the project demonstrates the outstanding performance of hfl/chinese-roberta-wwm-ext in emotional understanding using the mental health dataset released by Tongji University.enAvailable to the World Wide Webtransformerproject