Public sentiment on the global outbreak of monkeypox: an unsupervised machine learning analysis of 352,182 twitter posts.

Ng, Q X; Yau, C E; Lim, Y L; Wong, L K T; Liew, T M

Ng, Q X; Yau, C E; Lim, Y L; Wong, L K T; Liew, T M.

Afiliación

Ng QX; Health Services Research Unit, Singapore General Hospital, Singapore 168582, Singapore.
Yau CE; NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Lim YL; NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Wong LKT; School of Medicine, Trinity College Dublin, The University of Dublin, Dublin D02 PN40, Ireland.
Liew TM; Department of Psychiatry, Singapore General Hospital, Singapore 169608, Singapore; SingHealth Duke-NUS Medicine Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore. Ele

Public Health ; 213: 1-4, 2022 Dec.

Article en En | MEDLINE | ID: mdl-36308872

Asunto(s)

Grupos Minoritarios; Aprendizaje Automático no Supervisado; Humanos; Animales; Política Pública; Haplorrinos; Reino Unido/epidemiología

Palabras clave

BERT; Monkeypox; Social media; Stigma; Topic modelling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 11_ODS3_cobertura_universal / 2_ODS3 Problema de salud: 11_governance_arrangements / 2_cobertura_universal Asunto principal: Aprendizaje Automático no Supervisado / Grupos Minoritarios Límite: Animals / Humans País/Región como asunto: Europa Idioma: En Revista: Public Health Año: 2022 Tipo del documento: Article País de afiliación: Singapur

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