Topic Detection Approach Based on Adaptive Center Vector
Xianfei Zhang · Jisuanji gongcheng · 2009
Similar topic detection and topic excursion are two important factors which affect the performance of topic detection. For these two problems,this paper proposes a topic detection approach based on adaptive center vector. By using information of name-entity in feature representation,it combines name-entity vector and keyword vector to construct topic center vector,which can detect similar topic efficiently. Based on the idea of single-pass clustering,the algorithm modifies topic center dynamically. Experimental results show that the algorithm can improve the performance of topic detection effectively.