Web Page Categorization based on Maximum Entropy Model

摘要：

Web page categorization is becoming a pivotal technology in processing and organizing a mass of documents and data. The feature is selected to improve textprocessing 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 webpagesorting method based on Maximum Entropy Model is a relatively perfect webpage classifying method.

关键词： Web page classification Maximum Entropy Model feature

作者: JIAO Lijuan Feng Liping

作者单位: Department of Computer ScienceXinzhou Teachers UniversityXinzhou, China Department of Computer Science Xinzhou Teachers University Xinzhou, China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-04-16（万方平台首次上网日期，不代表论文的发表时间）