User Oriented Semi-supervised Document Clustering

摘要：

In many text mining applications, it is needed to cluster documents according to demand of users. However, Traditional documents clustering that use unsupervised learning are not able to meet this demand. In this paper, a new clustering approach that focuses on the problem is proposed. Main contributions include: (1) Expresses user requirement by topic with multiple attributes (2) Annotates topic semantic by ontology, calculate dissimilarity between topic semantics and build dissimilarity matrix. Experiments show that new approach is effective.

关键词： Document clustering Ontology Topic Annotation HowNet Hierarchy Clustering

作者: Rongfu Zhou Lihua Wang Dingxin shuai Ka Hei

作者单位: The School of Information and Electricity Engineering PanZhiHua university,SiCuan,PanZhiHua 617000 C Pansteel Cold Rolling Mill，Panzhihua ,Sichuan 617000, China

会议类型: 国内会议

会议名称: 第23届过程控制会议

会议地点: 厦门

会议语种:英文

页码: 1-6

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）