%0 Journal Article
%T E-mail classification based on concept vector space model<br>基于概念向量空间模型的电子邮件分类
%A ZENG Chao
%A LU Zhao
%A GU Jun-zhong
%A <br>曾超
%A 吕钊
%A 顾君忠
%J 计算机应用
%D 2008
%I 
%X A new approach of e-mail classification based on the concept vector space model was proposed. In this approach, the eigenvector of the e-mail was extracted during training process by replacing terms with synonymy sets in WordNet and considering hypernymy-hyponymy relation between synonymy sets. Then, TF * IWF * IWF method was used to revise the weight of the concept vector. In the end, the type of e-mail was determined using the simple vector classification method. Compared with the term-based VSM approach, the results show that this approach can improve the accuracy of e-mail classification especially when the size of training set is small.
%K WordNet<br>电子邮件分类
%K 概念向量
%K 向量空间模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=473581F2291649711818D7CD01DF0FB7&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=E70544473EEF44FE&eid=9B61C507A009ADB3&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7