Web文本分类技术研究及其实现

随着Internet的飞速发展,Web文本分类研究已经得到了人们密切的关注,并取得了大量的研究成果。文中讨论了Web文本分类过程中的几个关键技术;针对传统的Web文本分类方法缺乏认知自主性和不能再学习的特点,提出了一种扩展的Web文本分类模型和算法。通过系列实验表明,该算法具有较高的分类精度和查准率。

Research and Implementation of Web Text Classification

With the development of Internet at full speed,the research of Web text classification has already got people's close concern.A large amount of research results have been got.This paper has discussed several key technologies in the course of Web text classification in detail at first;Then directing against the traditional classification algorithm of Web text lack of cognitive independence and studying again,it proposes an extended Web text classification model and algorithm.Through a series of experiments,can get the result that such algorithm has higher classification precision and recall.