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Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing
May 10, 2024, 4:41 a.m. | Matthew Squires, Xiaohui Tao, Soman Elangovan, U Rajendra Acharya, Raj Gururajan, Haoran Xie, Xujuan Zhou
cs.LG updates on arXiv.org arxiv.org
Abstract: Suicide is a prominent issue in society. Unfortunately, many people at risk for suicide do not receive the support required. Barriers to people receiving support include social stigma and lack of access to mental health care. With the popularity of social media, people have turned to online forums, such as Reddit to express their feelings and seek support. This provides the opportunity to support people with the aid of artificial intelligence. Social media posts can …
abstract access arxiv cs.lg detection health health care issue media mental health people risk semi semi-supervised social social media society suicide support through type
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