Improved text classification method based on neural network
一种改进的基于神经网络的文本分类算法*

This paper put forward and carried out a text classification method using feed-forward neural network and K-nearest neighbor.Considering the differences of meaning and weight among the diverse groups of label in Web document,this paper adopted an improved TFIDF feature selection method.Finally an open test was done on this classifier. The experiment results show that this classifier can remarkably upgrade the recall and precision of text classification.