Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM.

Guo, Chaohui; Lin, Shaofu; Huang, Zhisheng; Yao, Yahong

Guo, Chaohui; Lin, Shaofu; Huang, Zhisheng; Yao, Yahong.

Afiliación

Guo C; Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Lin S; Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Huang Z; Department of Computer Science, Vrije University Amsterdam, Amsterdam, The Netherlands.
Yao Y; Faculty of Information Technology, Beijing University of Technology, Beijing, China.

Health Inf Sci Syst ; 10(1): 15, 2022 Dec.

Article en En | MEDLINE | ID: mdl-35846171

Palabras clave

Adversarial training; BERT+BiLSTM; Depression; Sentiment analysis; Time feature

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Health Inf Sci Syst Año: 2022 Tipo del documento: Article País de afiliación: China

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