%0 Journal Article
%T Two-class Text Categorization Method Based on Naive Bayes and GA<br>基于朴素贝叶斯和遗传算法的两类文本分类方法
%A WAN Di-Fei FAN Xing-Huan WANG Guo-Yin
%A <br>万狄飞
%A 樊兴华
%A 王国胤
%J 计算机科学
%D 2008
%I 
%X A two-class text categorization method based on Naive Bayes and GA is proposed. It transforms a Naive Bayesian classifier into a problem of search for a division line that fits the text data set distribution in a constructed two-dimensional space. A genetic algorithm is used to search an optimal division line on unreliable text area. The experiment results on a chinese text data set consisting of 12600 texts show that our method has good performance and efficiency. The precision, recall and F1 are 97.98%, 9...
%K Text classification
%K Genetic algorithm
%K Optimal dividing line
%K Text two-dimensional space
%K Naive Bayesian classifier<br>文本分类
%K 遗传算法
%K 最优分割线
%K 文本二维空间
%K 朴素贝叶斯分类器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=BB5DCACEB3DFD81CE469FF127B5F2967&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=E158A972A605785F&sid=1B97AE5098AEB49C&eid=8575BEDA702C4B7C&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=4