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

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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Bibliographic Details
Main Authors: Xiaodong Cao, Piers MacNaughton, Zhengyi Deng, Jie Yin, Xi Zhang, Joseph G. Allen
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Twitter
sentiment analysis
land use
social media
happiness
Online Access:http://www.mdpi.com/1660-4601/15/2/250

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