Topic Tracking Based on an Improved Term Weighting Method
Yong Chen · Radio Engineering of China · 2008
Topic tracking task has grown out of the Topic Detection and Tracking initiative sponsored by DARPA.Its aim is to monitor a stream of news stories for detecting additional stories on the same topic.Weighting of terms is important and crucial to the performance of a TDT system.The performance may vary dramatically for different weighting methods.In this paper,we propose a new weighting method by taking the position information of terms into account.Specifically,the weight of a term is partially determined by its position information.The experiment result shows that the proposed method is pretty effective and improves the performance of a tracking system.