Web文本聚类算法的分析比较

随着计算机网络的发展,各种文本资源以惊人的速度增长,导致信息搜寻困难和信息利用率低下。而快速高质量的Web文本聚类技术可以满足用户方便快捷地从互联网获得所需要的信息资源。文章对Web文本聚类如网页采集、去噪、分词、特征表示等关键技术进行研究,对常用的Web文本聚类算法进行了分析比较,所给出的分析比较结果对文本聚类算法的应用有现实意义。

Analysis and Comparison of Web Text Clustering Algorithm

With the development of computer network,various text resources are growing at an amazing speed,which results in difficult information search and low information utilization.The fast high-quality Web text clustering technology can help users obtain required information resource on Internet conveniently and quickly.This paper researches the key Web text clustering technologies such as webpage gathering,de-noising,word segmenting and feature expression,analyzes and compares common Web text clustering algorithms,which has practical significance for the application of text clustering algorithm.