An optimized deep learning approach for suicide detection through Arabic tweets.

Baghdadi, Nadiah A; Malki, Amer; Magdy Balaha, Hossam; AbdulAzeem, Yousry; Badawy, Mahmoud; Elhosseini, Mostafa

Baghdadi, Nadiah A; Malki, Amer; Magdy Balaha, Hossam; AbdulAzeem, Yousry; Badawy, Mahmoud; Elhosseini, Mostafa.

Affiliation

Baghdadi NA; Nursing Management and Education Department, College of Nursing, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Malki A; College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia.
Magdy Balaha H; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
AbdulAzeem Y; Computer Engineering Department, Misr Higher Institute for Engineering and Technology, Mansoura, Egypt.
Badawy M; Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
Elhosseini M; College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia.

PeerJ Comput Sci ; 8: e1070, 2022.

Article de En | MEDLINE | ID: mdl-36092010

Mots clés

Deep Learning (DL); Machine Learning (ML); Suicide; Twitter

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies / Prognostic_studies Aspects: Patient_preference Langue: En Journal: PeerJ Comput Sci Année: 2022 Type de document: Article Pays d'affiliation: Arabie saoudite Pays de publication: États-Unis d'Amérique

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