A Web Text Extraction Method Based on Regular Expressions and Text Density

With the advantages of some current web text extraction algorithms, this paper puts forward a new method based on the combination of the regular expressions and density of page text, the method firstly uses the regular expressions to clear the html tags by the characteristics of the web page source code, and then extracts the main text of page with the distribution density of text. The algorithm is simple and efficient and the method proves to have higher accuracy for extraction after tests.