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AI framework for DRIVE model based mental health detection in text: a case study on how coping strategies are expressed during COVID-19

Background This article defines an artificial intelligence framework to detect individual’s mental health (MH) status on social networks. The proposed framework, which consists of four main modules, aims to analyze the emotions that are expressed by social network users in their text posts and ident...

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Principais autores: Loulwah AlSumait, Altaf AlFarhan, Hasah AlHeneidi
פורמט: Artigo
שפה:Inglês
יצא לאור: PeerJ Inc. 2025-04-01
סדרה:PeerJ Computer Science
נושאים:
Text mining
Topic modeling
Twitter
Wellbeing
Coping
Classification
גישה מקוונת:https://peerj.com/articles/cs-2828.pdf
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