Supervised Learning for Suicidal Ideation Detection in Online User Content

Early detection and treatment are regarded as the most effective ways to prevent suicidal ideation and potential suicide attempts—two critical risk factors resulting in successful suicides. Online communication channels are becoming a new way for people to express their suicidal tendencies. This pap...

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Bibliographic Details
Main Authors: Shaoxiong Ji, Celina Ping Yu, Sai-fu Fung, Shirui Pan, Guodong Long
Format: Article
Language:English
Published: Hindawi-Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/6157249