Grad And Handle The Subject Of Web And Achieve To Visualization

Network subject concept extraction is automatic text processing is a key technology, which solves the thematic words extraction. Subject term automatic extraction generally adopts automatic indexing algorithm to achieve, but many times the conventional extraction algorithm the result is not ideal, many words due to failed to timely entry in a dictionary leads to the final result is not accurate. Therefore, unknown words, ignoring word processing is the Chinese text automatic indexing fields for a more in-depth study of the content, but also the design of a key.In this paper, with reference to the relevant research results, through the concept of webpage keyword automatic indexing system of webpage information extraction and processing, which for unknown words, neglects the word algorithm is studied and the improvement. After experimental verification, this method for many areas of the Chinese text has good effect.Keywords are extracted, the user gets a lot of useful information. After the topic concept extraction, the user gets a large amount of useful information, the information through further processing, extraction, can be visualized by output. Next, we can through information visualization to help people to implicit in the visualization of information knowledge, contact, through graphics, image and other visual form and displayed, in order to fully reflect the information of visual effects, which helps people to enhance cognitive ability. This article through to the algorithm are obtained according to the data dimension reduction, the correlation will result visualization output. Practice has proved, this visual form make the search results more dynamic and bright.