Limosa: a system for geographic user interest analysis in Twitter

Authors:
Jan Vosecky;Di Jiang;Wilfred Ng
Affiliations:
Hong Kong University of Science and Technology, Kowloon, Hong Kong, China;Hong Kong University of Science and Technology, Kowloon, Hong Kong, China;Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
Venue:
Proceedings of the 16th International Conference on Extending Database Technology
Year:
2013

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Abstract

In this demonstration, we present Limosa, an interactive system for visualization of geographic interests of users in Twitter. The system supports the modeling of comprehensive geographic characteristics of topics discussed in microblogs, both with respect to locations that postings originate from and also locations mentioned within the posting itself. Limosa then provides visualizations of geographic user interests, including the geographic scope of topics, terms, or the semantics associated with specific locations. Using a variety of recommendation strategies, we show that Limosa provides effective news and user recommendations.