Beyond Spatial Proximity—Classifying Parks and Their Visitors in London Based on Spatiotemporal and Sentiment Analysis of Twitter Data
Parks are essential public places and play a central role in urban livability. However, traditional methods of investigating their attractiveness, such as questionnaires and in situ observations, are usually time- and resource-consuming, while providing less transferable and only site-specific resul...
Main Authors: | Anna Kovacs-Györi, Alina Ristea, Ronald Kolcsar, Bernd Resch, Alessandro Crivellari, Thomas Blaschke |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-09-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | http://www.mdpi.com/2220-9964/7/9/378 |
Similar Items
-
Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine Learning
by: Anna Kovacs-Györi, et al.
Published: (2020-12-01) -
Investigating the Emotional Responses of Individuals to Urban Green Space Using Twitter Data: A Critical Comparison of Three Different Methods of Sentiment Analysis
by: Helen Roberts, et al.
Published: (2018-03-01) -
#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data
by: Anna Kovacs-Gyori, et al.
Published: (2018-03-01) -
Visitors to urban greenspace have higher sentiment and lower negativity on Twitter
by: Aaron J. Schwartz, et al.
Published: (2019-12-01) -
#AllforJan: How Twitter Users in Europe Reacted to the Murder of Ján Kuciak—Revealing Spatiotemporal Patterns through Sentiment Analysis and Topic Modeling
by: Tamás Kovács, et al.
Published: (2021-08-01)