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    Data-Mining Social Media for Spatiotemporal Patterns of Negative Opinion 

    Cantey, Chris (2013)
    Given that political and natural events cause unrest in social media, the research of this thesis serves to address the following question: Using census demographics and the geographic signature of social media content, ...
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    Spatial Text Mining: an Enhanced Text Mining Framework for Extracting Disaster Relevant Social Media Data 

    Scheele, Christopher (2017)
    In the past decade, the rise in social media has led to the development of a vast number of social media services and applications. Disaster management represents one of such applications leveraging massive data generated ...
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    Detection and Exploration of Individual Semantic Trajectories Using Social Media Data 

    Liu, Xinyi (2018)
    Individual travel trajectories collected from social media platforms (i.e., digital footprints) are often aggregated using methods such as the density-based spatial clustering of applications with noise (DBSCAN) and varying ...
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    Human Movement Patterns of Different Racial-Ethnic and Economic Groups in U.S. Top 50 Cities: What Can Social Media Tell Us About Segregation? 

    Wu, Meiliu (2019)
    Human movement patterns, one of the important fields in human mobility study, is significant for various practical applications, and many studies have proven that it is strongly impacted by individual socioeconomic and ...

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    AuthorCantey, Chris (1)Liu, Xinyi (1)Scheele, Christopher (1)Wu, Meiliu (1)Subject
    Social Media (4)
    Data-mining (1)Disaster Management (1)Geovisual analytics / Geovisualization (1)Human movement patterns (1)Hurricane Sandy (1)Madison (1)Multi-scale spatial clustering (1)OpenStreetMap (OSM) (1)Segregation (1)... View MoreDate Issued2013 (1)2017 (1)2018 (1)2019 (1)Has File(s)Yes (4)

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