CLASSIFICATION MODEL OF NETWORK USERS BASED ON OPTIMIZED LDA AND ENTROPY

摘要：

The classification of Network users is very important in user behavior analysis. The algorithm which was based entropy and latent Dirichlet allocation (LDA) was used in this paper. It is important but difficult to select an appropriate number of topics for a specific dataset. Entropy was first used to solve the problem. A concept named difference-entropy was built to determine the number of topics. Experiments show that the proposed method can achieve performance matching the best of LDA without manually tuning the number of topics.

关键词： network users classify entropy LDA

作者: Peng Liu Fang Liu Yinan Dou Zhenming Lei

作者单位: School of information and communication engineering,Beijing University of Posts and Telecommunications, Beijing

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)

会议地点: 北京

会议语种:英文

页码: 149-154

在线出版日期: 2009-11-06（万方平台首次上网日期，不代表论文的发表时间）