计算机与现代化Issue(2)：1-4,7,5.DOI:10.3969/j.issn.1006-2475.2012.02.001
三种中文文本自动分类算法的比较和研究
Comparison and Research on Algorithms of Three Chinese Text Classification
摘要
Abstract
With the development of Internet and information technology, network information scale is explosively increasing. Among various type of information, the type of texts occupy a considerable proportion. Therefore, efficient and rapid classification and processing of text information in the network become a key issue. The paper analyzes and compares SVM algorithm, Bayes algorithm and KNN algorithm. By the experiments of the three algorithms in Chinese text classification, the results indicate SVM algorithm is superior than KNN algorithm and Bayes algorithm, SVM algorithm is an excellent Chinese text classification algorithm.关键词
中文文本分类/SVM/Bayes/KNNKey words
Chinese text classification/SVM/Bayes/KNN分类
天文与地球科学引用本文复制引用
陈琳,王箭..三种中文文本自动分类算法的比较和研究[J].计算机与现代化,2012,(2):1-4,7,5.基金项目
国家863计划资助项目(2009AA044601) （2009AA044601）
