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Suicide Ideation Detection on Social Networks: Short Literature Review.

Authors :
Lasri, Sara
Nfaoui, El Habib
El haoussi, Fatima
Source :
Procedia Computer Science; 2022, Vol. 215, p713-721, 9p
Publication Year :
2022

Abstract

Social networking platforms will be a tool for people to share their positive and negative emotions. Suicide ideation detection is one of the important fields in social network analysis. Exploiting the data published on social networking platforms will help to prevent suicide and reduce the rate of suicide in the world. The purpose of this study is to review the effects of using social networking platforms to identify and categorize suicidal ideation. In addition to presenting the most popular methods used in computer science to discern between suicide notes and non-suicide notes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
215
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
161080556
Full Text :
https://doi.org/10.1016/j.procs.2022.12.073