Mining geographic knowledge using location aware topic model
Published 9 November 2007
Chong Wang, Jinggang Wang, Xing Xie, Wei‐Ying Ma
Citations104
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TL;DR
A Location Aware Topic Model (LATM) is proposed, a probabilistic graphical model, to explicitly model the relationships between locations and words.
Abstract
Most online activities are associated with geographical locations. For example, people write personal blogs about interesting places they have ever been to; read news about important local events; and search the web to find delicious restaurants. Mining geographical knowledge from these online activities can greatly benefit lots of web applications. In this paper, we propose a Location Aware Topic Model (LATM), a probabilistic graphical model, to explicitly model the relationships between locations and words. Experiments on several data sets, including news and blogs, showed satisfactory results.
Keywords
Computer ScienceSocial Sciences
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