Adaptive Topic Tracking Technique Based on K-Modes Clustering
Xiaofei Xue · Jisuanji gongcheng · 2009
Traditional Adaptive Topic Tracking(ATT) uses VSM to express a topic model and bring mistaken feedback to topic model updating.This paper presents an Adaptive Tracking Technique based on K-Modes clustering(K-MATT) to solve the problems caused by traditional topic model expression.This method uses Topic Kind Center(TKC) to substitute topic model and uses named entities VSM to express TKC,updates TKC in topic tracking until TKC is stable.Experiments prove K-MATT method is effective.