Using Twitter to Better Understand the Spatiotemporal Patterns of Public Sentiment: A Case Study in Massachusetts, USA.

Cao, Xiaodong; MacNaughton, Piers; Deng, Zhengyi; Yin, Jie; Zhang, Xi; Allen, Joseph G

Cao, Xiaodong; MacNaughton, Piers; Deng, Zhengyi; Yin, Jie; Zhang, Xi; Allen, Joseph G.

Afiliação

Cao X; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, MA 02215, USA. xcao@hsph.harvard.edu.
MacNaughton P; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, MA 02215, USA. piers.macnaughton@gmail.com.
Deng Z; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, MA 02215, USA. zhd471@mail.harvard.edu.
Yin J; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, MA 02215, USA. jieyin@g.harvard.edu.
Zhang X; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, MA 02215, USA. annezhang1129@sjtu.edu.cn.
Allen JG; School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. annezhang1129@sjtu.edu.cn.

Int J Environ Res Public Health ; 15(2)2018 02 02.

Article em En | MEDLINE | ID: mdl-29393869

Assuntos

Opinião Pública; Mídias Sociais; Análise Espaço-Temporal; Inteligência Artificial; Cidades; Humanos; Massachusetts; Fatores de Tempo

Palavras-chave

Twitter; happiness; land use; sentiment analysis; social media

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Opinião Pública / Mídias Sociais / Análise Espaço-Temporal Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

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