Title: WordCrowd – A Location-Based Application to Explore the City based on Geo-Social Media and Semantics
Language: English
Authors: Milleville, Kenzo 
Ali, Dilawar 
Porras-Bernardez, Francisco 
Verstockt, Steven 
Van de Weghe, Nico
Gartner, Georg 
Issue Date: 2019
WordCrowd is a dynamic location-based service that visualizes and analyzes geolocated social media data. By spatially clustering the data, areas of interest and their descriptions can be extracted and compared on different geographical scales. When walking through the city, the application visualizes the nearest areas of interest and presents these in a word cloud. By aggregating the data based on the country of origin of the original poster, we discover differences and similarities in tourist interest between different countries. This work is part of the project Eureca: European Region Enrichment in City Archives and Collections of Ghent University (IDLab, CartoGIS), the Technical University of Vienna (Research Group Cartography) and several city and state archives from Ghent and Vienna.
Keywords: Geo-social Media; Location-based Service; Spatial Clustering; Word Clouds
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-7176
DOI: 10.34726/lbs2019.29
Library ID: AC15513005
Organisation: E120 - Department für Geodäsie und Geoinformation 
Publication Type: Inproceedings
Appears in Collections:Conference Paper

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