基于Web页面有效信息抽取的分类方法

Web Page Classification Method based on Effective Information Extraction

随着Internet的迅猛发展,Web上的网页数目呈现指数级的爆炸性增长趋势,在Web上检索及发现有价值的信息已成为了一项重要的任务,"噪音"的出现往往会降低基于页面处理的各种算法的效率。因此,如何删除页面的噪音,提取页面中的主要内容是Web挖掘中的重要问题。给出了抽取网页中各种分类有效的文本的具体实现。

With the Internet＇s rapid development, Web on the number of pages showing the explosive exponential growth trend. In the Web, search and discover valuable information that has become an important task. ＂Noise＂ tends to reduce the appearance of the page-based processing the efficiency of various algorithms. Therefore, how to remove noise pages, extract pages of the main contents of the Web mining in the important issues. In this paper, extract pages of the various classifications of effective concrete realization of the text.