摘要
文本挖掘是对一个非结构化文本信息进行分析从而获取用户关心或感兴趣,有潜在实用价值知识的过程。本文首先介绍了文本挖掘的定义和研究现状,之后文本挖掘一般处理过程,着力于文本分类和文本聚类的一般过程,最后展望了今后的研究目标。
Text Mining is process of extracting interesting knowledge form large linguistic semantic text collections.First,it introduce the concept and developing of Data Mining. Then point out Text Mining and its status ,Text classification and clustering are important in this.In the end ,it shows the feature of Chinese text mining and highlighting the upcoming Challenges of text mining
出处
《科技信息》
2009年第33期82-82,99,共2页
Science & Technology Information
关键词
数据挖掘
文本挖掘
文本分类
文本聚类
Data mining
Text mining
Text classification
Text clustering
