SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media Analysis

arXiv:2404.12659v1 Announce Type: new
Abstract: 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 internet language complicate accurate and rapid identification of suicidal intent on social media, thus creating challenges for timely intervention efforts. The development of deep learning models for suicide risk detection is a promising solution, but there is a notable lack of relevant datasets, especially in the Chinese context. To …

abstract analysis arxiv challenges chinese classification cs.cl dataset emotions express fine-grained forms identification internet language media risk social social media suicide type