一种Web信息挖掘的英语阅读选篇分类研究  

Research on Web Information Mining in English Reading Materials Classification

作　　者：吴昊[1] 

机构地区：[1]湖南广播电视大学,湖南长沙410004

出　　处：《现代教育技术》2009年第2期67-70,共4页Modern Educational Technology

基　　金：湖南省教育科学"十一五"规划2006年度重点资助课题(课题编号:XJK06AXJ009)

摘　　要：随着网络信息化程度的不断提高,英语阅读教学模式也发生了根本性的变化,网络环境下英语阅读教学题材选篇的多样性与灵活性有了质的飞跃。由于目前英语阅读题材选篇多为手工挑选,题材涉及面不够广泛并且任务繁重,提出了一种基于Web信息挖掘的英语阅读选篇自动分类的设计模式,以期利用计算机技术为构建高效实用的英语阅读自动选篇系统提供有效的解决途径。With the development of information technology and increasing web pages in web resources, the mode of English reading teaching has changed greatly, and the diversity and flexibility of English reading materials achieve a great progress. Because English reading materials were hand selection, subjects were lack of varieties and the classification work was heavy, this paper provides a model of automation classification of English reading materials based on web information mining. Through this method, it will provide an effective method for building a highly efficient and practical system of automatic classification of English reading materials.

关 键 词：WEB信息挖掘 英语阅读 文本分类 结构模型 

分 类 号：G40-057[文化科学—教育学原理]