关键词: 正文抽取, 文本块, 标签路径, 文本密度

Abstract: Most of web pages contain content information as well as a lot of noisy information. In order to address this problem and improve the accuracy of web page extraction, a web page extraction method is proposed via text block density with tap path and other features. The proposed method mostly combines the advantages of text block extraction method and label path extraction method. First, the block of the text is determined according to the density feature of the text block, and then the tag path method is used to remove the noisy node in the block, the text node in the text block is extracted from the content finally. This solution effectively solves the problem that the noisy information in the text block is difficult to filter and the tag path method is easy to extract the long text from the noisy block. In the end, experiments show that the solution is better than CETR and CETD in most cases.

Key words: content extraction, text block, tag path, text density