Yuanyuan Xue1,2, Qi Li1, TongWu1, LingFeng1, Liang Zhao3, FengYu3
Computer Systems Science and Engineering, Vol.34, No.2, pp. 65-78, 2019, DOI:10.32604/csse.2019.34.065
Abstract Suicide has been a perplexing social problem around the world for a long time. Timely sensing hidden suicide risk and offering effective intervention
are highly desirable and valuable for individuals and their families. Psychological studies prove that stress status, suicide-related expressions, and social
engagement are reliable predictors of suicide risk. However, existing clinical diagnosis can only provide effective treatments to a restricted number of
people because of its limited capacity. With the popular usage of social media like microblogs, a new channel to touch the inner world of many potential
suicides arises. In this paper, we explore to automatically detect… More >
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