Are people happier in locations of high property value? Spatial temporal analytics of activity frequency, public sentiment and housing price using twitter data

Are people happier in locations of high property value? Spatial temporal analytics of activity frequency, public sentiment and housing price using twitter data

The rise of social networking platforms provides opportunities to examine the relationship between public emotion and housing price. This study investigates frequency and places of visits, population sentiment, and housing price using 8.7 million tweets retrieved from Manhattan, New York City in 201...

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Bibliographic Details
Main Authors: Guan, C. (Author), Tan, M.J (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2021
Subjects:
frequency analysis
housing market
Housing price
New York [New York (STT)]
New York [United States]
New York city
public attitude
quality of life
social media
Social media data
Spatial temporal analytics
spatiotemporal analysis
Twitter sentiment level
United States
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Internet

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