%0 Journal Article
%T AlgorithmforChinesetextcategorizationbasedonclassfeaturevectorrepresentation<br>基于类别特征向量表示的中文文本分类算法*
%A HE Jian-ying
%A CHEN Rong
%A XU Miao
%A LIU Jia
%A YU Zhong-hua
%A <br>何建英
%A 陈蓉
%A 徐淼
%A 刘佳
%A 于中华
%J 计算机应用研究
%D 2008
%I 
%X This paper used the approach to Chinese text categorization without word segmentation, expressing text features with bi-gram model. Compared with the classification models with word segmentation, the approach avoided complicated computation of word segmentation. To increase the accuracy of the approach, proposed an algorithm based on the class feature vector representation. And analyzed theoretically and verified experimentally the efficiency of the algorithm.
%K Chinese text categorization
%K vector space model(VSM)
%K evaluation function
%K feature extraction<br>中文文本分类
%K 向量空间模型
%K 评价函数
%K 特征提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4D3061C907D7187841D8D04836ACE0A7&yid=67289AFF6305E306&vid=C5154311167311FE&iid=0B39A22176CE99FB&sid=5FF9F4F7CB1800C7&eid=302684F6FB4B24FF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8