Document Classification Based on Neural Network

摘要：

This paper investigates a new approach to the use of the citation links to refine the initial results obtained from the content-based classifier. The goal was successfully achieved by developing a neural network based method to refine the class labels of the documents obtained by the content-based naive Bayes classification method. The new method was examined and compared with the content based Naive Bayes method on a standard document classification data set with increasing training set sizes. The results suggest that the new approach can significantly improve the system performance and that the citation link information is important for scientific document classification. While the neural network method has achieved good results.

关键词： Document classification Neural network Network training and testing

作者: ZHOU Rigui

作者单位: College of Information Engineering, East China Jiao Tong University, Nanchang, Jiangxi, 330013, China

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 1671-1674

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）