%0 Journal Article
%T A Traditional Chinese Poetry Style Identification Calculation Improvement Model<br>基于遗传算法改进诗词风格判别的研究
%A YI Yong
%A HE Zhong-Shi
%A LI Liang-Yan
%A ZHOU Jian-Yong
%A QU Yi-Bo College of Computer
%A Chongqing Univrsity
%A Chongqing
%A <br>易勇
%A 何中市
%A 李良炎
%A 周剑勇
%A 瞿义玻
%J 计算机科学
%D 2005
%I 
%X Based on Machine Learning methods--Nalve Bayes and Genetic Algorithm, this paper proposes a Tradi- tional Chinese Poetry Style Identification Calculation Improvement Model to identify Bold-and-Unrestrained or Grace- ful-and-Restrained styles, that derive from Machine Learning Chinese Classical Ci in Song Dynasty. Feature subset se- lection is performed based on Genetic Algorithm and has achieved satisfactory identification results in application.
%K Machine learning
%K Text categorization
%K GA
%K Literature style identification<br>判别
%K 风格
%K 算法改进
%K 向量空间模型
%K 机器学习
%K 朴素贝叶斯
%K 计算模型
%K 古典诗词
%K 遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=86AF2937FD5253FD&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=DF92D298D3FF1E6E&sid=3F0AF5EDBC960DB0&eid=4C100B7696CE9E24&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9