Traditional topic extraction methods acquire web pages' topics only by analyzing the pages' content, and the analyzing results are not very accurate.

传统的主题抽取方法单纯依靠分析网页内容的来自动获取网页主题，其分析结果并不十分精确。

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This paper presents a new method for content extraction from Web pages based on statistic and content-features.

该文提出了一种基于统计与正文特征的网页正文抽取方法。

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WEB page content structure is very helpful for applications such as information retrieval, classification, information extraction etc.

页面内容结构分析在WEB信息检索、分类和抽取等方面有重要作用。

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