Detecting depression of Chinese microblog users <i>via</i> text analysis: Combining Linguistic Inquiry Word Count (LIWC) with culture and suicide related lexicons.

Lyu, Sihua; Ren, Xiaopeng; Du, Yihua; Zhao, Nan

Detecting depression of Chinese microblog users via text analysis: Combining Linguistic Inquiry Word Count (LIWC) with culture and suicide related lexicons.

Lyu, Sihua; Ren, Xiaopeng; Du, Yihua; Zhao, Nan.

Afiliación

Lyu S; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Ren X; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
Du Y; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Zhao N; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.

Front Psychiatry ; 14: 1121583, 2023.

Article en En | MEDLINE | ID: mdl-36846219

Palabras clave

CES-D; depression; machine learning; microblogging; prediction; text mining

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Psychiatry Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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