Understanding Users' Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques.

Li, Qiudan; Wang, Can; Liu, Ruoran; Wang, Lei; Zeng, Daniel Dajun; Leischow, Scott James

Li, Qiudan; Wang, Can; Liu, Ruoran; Wang, Lei; Zeng, Daniel Dajun; Leischow, Scott James.

Afiliação

Li Q; The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Wang C; The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Liu R; University of Chinese Academy of Sciences, Beijing, China.
Wang L; The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Zeng DD; University of Chinese Academy of Sciences, Beijing, China.
Leischow SJ; The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

J Med Internet Res ; 20(8): e252, 2018 08 15.

Article em En | MEDLINE | ID: mdl-30111530

Assuntos

Atitude; Sistemas Eletrônicos de Liberação de Nicotina/métodos; Mídias Sociais/tendências; Vaping/psicologia; Feminino; Humanos; Masculino

Palavras-chave

JuiceDB; e-cigarette; e-liquid; electronic nicotine delivery systems; infodemiology; sentiment opinion summarization; social media; vaping

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atitude / Mídias Sociais / Sistemas Eletrônicos de Liberação de Nicotina / Vaping Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China

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