%0 Journal Article
%T An automatic text classifier of class-based feature selection algorithm<br>基于类别的特征选择算法的文本分类系统
%A JIANG Wei-zhen
%A TAO Hong-cai
%A <br>蒋伟贞
%A 陶宏才
%J 计算机应用
%D 2005
%I 
%X Current feature selection algorithms are all based on term frequency,and ignore the class information in the training sample set.A new feature selection algorithm based on class information was put forward.The principle of the algorithm is as follows: according to the similarity difference caused by whether or not a word existed in a document,the discriminative power with that this word distinguished different documents could be determined.And then,the discriminative power was taken as the importance for
%K automatic text classification
%K feature selection
%K VSM model
%K naive Bayes
%K discriminative power<br>文本自动分类
%K 特征选择
%K 向量空间模型
%K 朴素贝叶斯
%K 分辨力
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=1A8B83900415F366&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=A31F3855C4399745&eid=DD82672401351C7D&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7