Abstract
Today's culture has a significant problem with suicide. To save lives, it must be a primary focus to identify and stop suicide attempts as early as possible. For identification system related to online media web, suicide attempts tracking (SID) strategies currently used feature technology or deep learning procedures in machine learning, as well as medical trials depending on encounter among caseworkers or experts and the focused individual people. The approaches in these areas are completely introduced and discussed in this survey for the first time. Based on their data sources, which include surveys, Domain-specific SID programs, suicide notes, patient records, and virtual user content are evaluated. To facilitate future research, a number of particular initiatives and database is built and described. Lastly, we highlight the flaws in the prior projects and offer an alternative strategy. Key Words: Deep learning, highlight designing, social substance, self-destructive ideation discovery (SID).
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