DocumentCode
480137
Title
Improving the Performance of Topic Tracking System by Ensemble
Author
Qin, Xiangju ; Zhang, Yang
Author_Institution
Coll. of Inf. Eng., Northwest A&F Univ., Yangling
Volume
4
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
316
Lastpage
320
Abstract
The aim of topic tracking is to monitor the stream of news stories to find additional stories on a topic that was identified by several sample stories. In this paper, we adopt majority voting to ensemble several topic tracking systems. The experiment results on TDT3 corpus show that our ensemble topic tracking system performs better than each individual topic tracking system, and that the performance of topic tracking system could be improved by ensemble technology.
Keywords
pattern classification; text analysis; binary classification problem; ensemble technology; ensemble topic tracking system; majority voting; text classification; Classification algorithms; Computer science; Educational institutions; Information filtering; Information filters; Information retrieval; Monitoring; Performance evaluation; Software engineering; Voting; Ensemble; TDT3 Corpus; Topic Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.984
Filename
4722624
Link To Document