SELF-ADAPTIVE EMERGENCY TOPIC TRACKING MODEL BASED ON CHI_LDA AND TIMING CHARACTERISTICS

摘要：

According to some flaws in the existing topic tracking methods, a new method of self-adaptive emergency topic tracking model based on CHI_LDA and timing characteristics is proposed in this paper. Apply the CHI_LDA method to establish the model for the news topics and reports, not only resolving the problems of high dimension and sparseness in the feature space and semantic relevance, but also improving the time efficiency for the LDA method to realize the semantic mapping of the feature space. Then establish the topic tracker combined with the news topic timing characteristics, and meanwhile realize the selfadaptive updating of the topic model so as to track the dynamic changes in topic. Experimental results indicate that this method of topic tracking has a better performance, further improving the effect of topic tracking.

关键词： Topic tracking CHI_LDA topic model timing characteristics self-adaptive

作者: Meiyu Liang Junping Du Yuehua Yang

作者单位: Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing University of Posts and Telecommunications, Beijing 100876, China

会议类型: 国际会议

会议名称: 2011 4th IEEE International Conference on Broadband Network & Multimedia Technology(第四届IEEE宽带网络与多媒体国际会议 4th IEEE IC-BNMT2011)

会议地点: 深圳

会议语种:英文

页码: 647-651

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）