计算机应用研究Issue(2)：547-551,5.DOI:10.3969/j.issn.1001-3695.2015.02.051
动态话题追踪中的误报检测
Error detection in dynamic topic tracking
摘要
Abstract
For the reason of high false alarm probability in dynamic topic tracking,this paper proposed error detection to judge whether the tracked related story was belong to false alarm and then decreased false alarm probability in dynamic topic trac-king.Considering a new story was whether related to a topic,not only depending on the similarity between the two,but also de-pending on difference relationship,distribution relationship,and the similarity between new story and seminal story of existed topic,gave the computation formula of error detection.TDT4 corpora and DET curves were used to run experiments.This paper firstly obtained the threshold of error detection factorδ,the tracking performance of dynamic topic model based on belief net-work decreases (Cdet )norm by 5 .032% when uses error detection.关键词
动态话题模型/话题追踪/误报检测/信念网络Key words
dynamic topic model/topic tracking/error detection/belief network分类
信息技术与安全科学引用本文复制引用
吴树芳,徐建民..动态话题追踪中的误报检测[J].计算机应用研究,2015,(2):547-551,5.基金项目
中国博士后科学基金资助项目（20070420700）；河北省自然科学基金资助项目 （）
