Abstract
This paper analyzes the deficiencies of the existing Web information extraction methods and reasons, and put forward the page text information extraction method based on multi-feature fusion. Compared with previous methods with a small selection of features, the method in this paper determine the choice of a variety of information via text features, better able to adapt to a variety of styles page. By comparing the experiment, this method has higher accuracy to meet practical application needs in the Web Content Extraction.
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