Title :
A novel method of topic detection and tracking for BBS
Author :
Zhao, Yan ; Xu, Jungang
Author_Institution :
Sch. of Inf. Sci. & Eng., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
Topic Detection and Tracking (TDT) has been studied for years, but most existing research is oriented to news web pages. Compared to news web pages, texts in Bulletin Board System (BBS) are more complicated and filled with user participation. In this paper, we propose a novel method of TDT for BBS, which mainly includes: a representation posts selection procedure based on post quality ranking and an efficient topic clustering algorithm based on candidate topic set. Experiment results demonstrate that our method significantly improves the performance of TDT in BBS environment on both accuracy and time complexity.
Keywords :
Web sites; computational complexity; information services; pattern clustering; text analysis; BBS environment; TDT; bulletin board system; candidate topic set; news Web pages; post quality ranking; representation posts selection procedure; time complexity; topic clustering algorithm; topic detection and tracking; user participation; Accuracy; Neodymium; BBS; candidate topic set; clustering; representation posts selection; topic detection and tracking;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014309
