%0 Journal Article
%T Topic-based Probabilistic Document Correlation Model<br>一种基于主题的概率文档相关模型
%A JIAXi-ping
%A PENG Hong
%A ZHENG Qi-lun
%A SHI Shi-xu
%A <br>贾西平
%A 彭宏
%A 郑启伦
%A 石时需
%J 计算机科学
%D 2008
%I 
%X Existing models on document relationship analysis have a difficulty in learning document correlation from topic level.To overcome this difficulty,a topic-based probabilistic document correlation model(TPDC)was proposed.The model learns the topic structure of a document through the latent dirichlet allocation model,infers the posterior probability of a document by computing the posterior probability of its topics and topic similarity,and then constructs the document correlation model based on the document po...
%K Topic
%K Topic similarity
%K Document correlation
%K Text mining<br>主题
%K 主题相似性
%K 文档相关性
%K 文本挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=976E2909D6FDC3C62F21537A21021739&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=F3090AE9B60B7ED1&sid=4609832E4B5C797B&eid=F1A8654ADB4E656E&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9