Comparison of the Users' Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study.

Li, Yongjie; Yan, Xiangyu; Wang, Zekun; Ma, Mingchang; Zhang, Bo; Jia, Zhongwei

Li, Yongjie; Yan, Xiangyu; Wang, Zekun; Ma, Mingchang; Zhang, Bo; Jia, Zhongwei.

Afiliación

Li Y; School of Public Health, Peking University, Beijing, China.
Yan X; School of Public Health, Peking University, Beijing, China.
Wang Z; School of Public Health, Peking University, Beijing, China.
Ma M; School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China.
Zhang B; School of Public Health, Peking University, Beijing, China.
Jia Z; School of Public Health, Peking University, Beijing, China.

JMIR Public Health Surveill ; 9: e34132, 2023 01 11.

Article en En | MEDLINE | ID: mdl-36630175

Asunto(s)

Cannabidiol; Cannabis; Medios de Comunicación Sociales; Humanos; Cannabidiol/uso terapéutico; Distribución de Chi-Cuadrado; Actitud

Palabras clave

cannabidiol; drug policy; latent Dirichlet allocation; sentiment analysis; social media

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cannabidiol / Cannabis / Medios de Comunicación Sociales Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: JMIR Public Health Surveill Año: 2023 Tipo del documento: Article País de afiliación: China

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