Detecting suicidality on social media: Machine learning at rescue

Detecting suicidality on social media: Machine learning at rescue

The rise in technological advancements and Social Networking Sites (SNS) made people more engaged in their virtual lives. Research has revealed that people feel more comfortable posting their feelings, including suicidal thoughts, on SNS than discussing them through face-to-face settings due to the...

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Bibliographic Details
Main Authors: Syed Tanzeel Rabani, Akib Mohi Ud Din Khanday, Qamar Rayees Khan, Umar Ayoub Hajam, Ali Shariq Imran, Zenun Kastrati
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Egyptian Informatics Journal
Subjects:
Suicidal ideation
Social media
Feature engineering
Machine learning
Ensemble learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866523000233

Internet

http://www.sciencedirect.com/science/article/pii/S1110866523000233

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