Multi-label mental health classification in social media posts with multi-perspective prompt ensemble and auxiliary self-supervision

Abstract Anxiety and depression have become major global health concerns. With the rapid rise of social media, people increasingly share emotions and personal struggles through posts, which often convey multiple mental states simultaneously. To address this multi-label classification challenge in me...

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Главные авторы:	Cheng-Ying Hsieh, Qing-Yuan Ye, Feng-Chi Liu, Xin Wang, Cheng-Hsiung Lee, Ching-Sheng Lin
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2025-12-01
Серии:	Scientific Reports
Предметы:	Multi-label classification Mental health Multi-perspective prompt Perturbation-based self-supervised learning Pre-trained language model
Online-ссылка:	https://doi.org/10.1038/s41598-025-30873-x
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