%0 Journal Article
%T Improved text classification method based on neural network<br>一种改进的基于神经网络的文本分类算法*
%A DING Zhen-guo
%A LI Jing
%A ZHANG Zhuo
%A <br>丁振国
%A 黎靖
%A 张卓
%J 计算机应用研究
%D 2008
%I 
%X 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.
%K text classification
%K neural network
%K K-nearest neighbor
%K feature selection<br>文本分类
%K 神经网络
%K K最近邻
%K 特征选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=E86E12F09784944A916D4D2947DC9BCA&yid=67289AFF6305E306&vid=C5154311167311FE&iid=B31275AF3241DB2D&sid=71706E59E547123D&eid=EDB2C8F3B92E3D13&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8