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。
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。
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。
Forum structured data extraction is the meta-data extraction from web forums such as post title, post author, post time and post content. It is the foundation of processing forum data.
论坛的结构化数据抽取是对论坛中帖子的标题、作者、发表时间和内容文本块等论坛元数据的抽取，它是处理论坛数据的基础。
The first is Web content mining, which describes the process of information retrieval and extraction from varieties of sources across the World Wide Web.
二是网络使用挖掘，指挖掘网站访问方式或其他网络用户信息的过程。
The first is Web content mining, which describes the process of information retrieval and extraction from varieties of sources across the World Wide Web.
二是网络使用挖掘，指挖掘网站访问方式或其他网络用户信息的过程。
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