基于概念格的文本挖掘  

Text Mining Based on Concept Lattice

作　　者：王娜[1] 李云松[2] 

机构地区：[1]郑州航空工业管理学院,河南郑州450015 [2]兰州理工大学计算机与通信学院,甘肃兰州730050

出　　处：《计算机技术与发展》2006年第1期114-116,共3页Computer Technology and Development

摘　　要：文本挖掘是从非结构化的文本中发现潜在的概念以及概念间的相互关系。作为从浩瀚的Web信息资源中发现潜在的、有价值知识的有效技术,Web文本挖掘已倍受关注。文中提出了利用概念格来抽取隐含在文本中潜在的概念关系,将文本挖掘中文档与关键词之间的关系通过概念格结构呈现出来。Text mining depends on finding out the latent concepts and relationships between themselves from the original texts. As an effective technology to find potential, valuable knowledge from Web information resources, Web text mining has already been paid close attention to. The paper presents using the concept lattice to extract the latent concept relationships in the text. The relationships of the documents and the terms in the text mining are shown by the concept lattice.

关 键 词：文本挖掘 概念格 特征抽取 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]