A Novel Approach of Calculating Information Entropy in Information Extraction

Noise data of web page is easy to cause the topic drift problem in web information extraction. To improve the accuracy of web information extraction effectively, a novel calculation method of mixing entropy is presented, which can more accurately reflect the topic information of web page. The information block is discussed under the multi-page site environment. The impacts of information within local page and the same information distribution between web pages generated by template are all considered so as to ensure the precision of calculating information entropy. The method is verified by calculating the entropy of information block in information extraction. Compared with other methods, the simulation results indicate that the novel method shows great superiority over other traditional methods in both the accuracy of information entropy calculation and discrimination between topic-related information blocks and topic-unrelated information blocks.