Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models

Topic detection (TD) is a fundamental research issue in the Topic Detection and Tracking (TDT) community with practical implications; TD helps analysts to separate the wheat from the chaff among the thousands of incoming news streams. In this paper, we propose a simple and effective topic detection...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2010-10, Vol.32 (10), p.1795-1808
Hauptverfasser:	Qi He, Kuiyu Chang, Ee-Peng Lim, Banerjee, A
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence bursty feature Chaff Character generation Computer science control theory systems Data mining Dirichlet problem DPM Event detection Exact sciences and technology Finance Frequency Hurricanes Inference Inference from stochastic processes time series analysis Intelligence Linear discriminant analysis Mathematical model Mathematics Nominations and elections online Pattern analysis Probabilistic methods probabilistic model Probability and statistics Probability theory Sciences and techniques of general use Speech and sound recognition and synthesis. Linguistics Statistics Studies TFIDF time-aware Topic detection Tracking
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