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Applying Machine Learning and Geolocation Techniques to Social Media Data (Twitter) to Develop a Resource for Urban Planning

With all the recent attention focused on big data, it is easy to overlook that basic vital statistics remain difficult to obtain in most of the world. This project set out to test whether an openly available dataset (Twitter) could be transformed i...

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Bibliographic Details
Main Authors: Milusheva, Sveta, Marty, Robert, Bedoya, Guadalupe, Williams, Sarah, Resor, Elizabeth, Legovini, Arianna
Language:English
Published: World Bank, Washington, DC 2020
Subjects:
MACHINE LEARNING
BIG DATA
URBAN PLANNING
ROAD SAFETY
SDGs
GEOGRAPHIC INFORMATION SYSTEM
SOCIAL MEDIA
GEOSPATIAL ANALYSIS
SPATIAL CLUSTERING
Online Access:http://documents.worldbank.org/curated/en/407261607111342557/Applying-Machine-Learning-and-Geolocation-Techniques-to-Social-Media-Data-Twitter-to-Develop-a-Resource-for-Urban-Planning
http://hdl.handle.net/10986/34910

Internet

http://documents.worldbank.org/curated/en/407261607111342557/Applying-Machine-Learning-and-Geolocation-Techniques-to-Social-Media-Data-Twitter-to-Develop-a-Resource-for-Urban-Planning
http://hdl.handle.net/10986/34910

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