Web page categorization based on Maximum Entropy Model

Web page categorization is becoming a pivotal technology in processing and organizing a mass of documents and data. The feature is selected to improve text-processing technology thinking of factor hyperlink in Maximum Entropy Model. Experiment finds that the method is more effective. It not only can get the most consistent distribution, but ensure the accuracy and universality in sorting webpage classification as well. So the webpage-sorting method based on Maximum Entropy Model is a relatively perfect webpage classifying method.