Suicidal ideation from the perspective of social and opinion mining

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Abstract

Social media is a way of communicating with others and its popularity is growing worldwide. It has a lot of influence on its users. People read various posts and get affected by it. Suicide is one of the major health issues on social media which influence others to do the same. The number of suicides is increasing day by day. Thus, a need arises to find or develop a way to control suicides through social media. Machine learning is being widely used by many researchers for this purpose, with the help of psychiatrists. A lot of studies have been done in this field. In this paper, we have reviewed the existing work in this field inferring their limitations so that further work can be carried out.

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Chadha, A., & Kaushik, B. (2020). Suicidal ideation from the perspective of social and opinion mining. In Lecture Notes in Electrical Engineering (Vol. 597, pp. 659–670). Springer. https://doi.org/10.1007/978-3-030-29407-6_47

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