Keep it simple with time: A reexamination of probabilistic topic detection models

• Main Authors: HE, Qi, CHANG, Kuiyu, LIM, Ee Peng, Banerjee, Arindam
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: DPM; TFIDF; Topic detection; bursty feature; online; probabilistic model; time-aware; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/1322; https://ink.library.smu.edu.sg/context/sis_research/article/2321/viewcontent/05374412.pdf
• Institution: Singapore Management University

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...