摘要
在传统的从训练到分类的两级结构的基础上,提出了一种带有反馈感知机制的、具有三级结构的Web文档分类算法。同时结合现代远程教育背景,实现了Web文本挖掘的分类原型系统。在系统上对各类远程教育站点上收集的文本资料信息自动进行分类挖掘,取得了较好的实验效果。
On the base of conventional two-level structure from training to classifying, a Web document classifying of three- level structure with perceptive mechanism of feedback is proposed in this paper. It integrates background on modern long distance education to realize a classifying prototype system for Web text mining. The system classifies the text resource information collected from all kinds of remote education websites, and good experiment results have been got.
出处
《北京印刷学院学报》
2009年第2期52-54,58,共4页
Journal of Beijing Institute of Graphic Communication
基金
北京市教委科技面上项目(KM200610015006)
关键词
WEB文本挖掘
反馈机制
文本分类
Web text mining
feedback mechanism
text classification
