A relevance-based topic model for news event tracking

Relevance Tracking (education)
DOI: 10.1145/1571941.1572117 Publication Date: 2009-07-28T12:45:28Z
ABSTRACT
Event tracking is the task of discovering temporal patterns popular events from text streams. Existing approaches for event have two limitations: scalability and inability to rule out non-relevant portions in In this study, we propose a novel approach tackle these limitations. To demonstrate approach, track news across collection weblogs spanning two-month time period.
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