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

Twitter provides a rich database of spatiotemporal information about users who broadcast their real-time opinions, sentiment, and activities. In this paper, we sought to investigate the holistic influence of land use and time period on public sentiment. A total of 880,937 tweets posted by 26,060 act...

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Detalles Bibliográficos
Autores principales: Cao, Xiaodong, MacNaughton, Piers, Deng, Zhengyi, Yin, Jie, Zhang, Xi, Allen, Joseph G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858319/
https://www.ncbi.nlm.nih.gov/pubmed/29393869
http://dx.doi.org/10.3390/ijerph15020250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858319/
https://www.ncbi.nlm.nih.gov/pubmed/29393869
http://dx.doi.org/10.3390/ijerph15020250

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