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2006
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A probabilistic approach to spatiotemporal theme pattern mining on weblogs

14 years 3 months ago
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Mining subtopics from weblogs and analyzing their spatiotemporal patterns have applications in multiple domains. In this paper, we define the novel problem of mining spatiotemporal theme patterns from weblogs and propose a novel probabilistic approach to model the subtopic themes and spatiotemporal theme patterns simultaneously. The proposed model discovers spatiotemporal theme patterns by (1) extracting common themes from weblogs; (2) generating theme life cycles for each given location; and (3) generating theme snapshots for each given time period. Evolution of patterns can be discovered by comparative analysis of theme life cycles and theme snapshots. Experiments on three different data sets show that the proposed approach can discover interesting spatiotemporal theme patterns effectively. The proposed probabilistic model is general and can be used for spatiotemporal text mining on any domain with time and location information. Categories and Subject Descriptors: H.3.3 [Information...
Qiaozhu Mei, Chao Liu 0001, Hang Su, ChengXiang Zh
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2006
Where WWW
Authors Qiaozhu Mei, Chao Liu 0001, Hang Su, ChengXiang Zhai
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