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cs.CL2024★ 1 cited
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★ 1 cited
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…
cs.CL2023
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…