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cs.CL2024
Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media
Hongzhi Qi, Qing Zhao, Jianqiang Li +9
On social media, users often express their personal feelings, which may exhibit cognitive distortions or even suicidal tendencies on certain specific topics. Early recognition of t…
cs.CL2024
SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media Analysis
Hongzhi Qi, Hanfei Liu, Jianqiang Li +7
In the social media, users frequently express personal emotions, a subset of which may indicate potential suicidal tendencies. The implicit and varied forms of expression in intern…
cs.CL2024
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts
Meng Jiang, Yi Jing Yu, Qing Zhao +8
Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational thoughts stemming from mental illnesses, but it necessitates precise identification of co…