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| 基于支持向量机的文本分类技术研究 | |
| 引用本文： | 张艳华,王海涌,郑丽英. 基于支持向量机的文本分类技术研究[J]. 甘肃科学学报, 2006, 18(3): 72-74 |
| 作者姓名： | 张艳华 王海涌 郑丽英 |
| 作者单位： | 1. 兰州交通大学,数理与软件工程学院,甘肃,兰州,730070 2. 兰州交通大学,信息与电气工程学院,甘肃,兰州,730070;兰州交通大学,光电技术与智能控制教育部重点实验室,甘肃,兰州,730070 |
| 摘 要： | 介绍了文本分类的基本过程,讨论了常用的文本分类方法如K-最近邻分类算法K-NN(K-Nearest Neighbors,K-NN)、朴素贝叶斯分类算法NB(Naive Bayesian Classifier,NB)、决策树分类算法DT(Decision Trees,DT),并探讨了基于支撑向量机SVM(Support Vector Machines,SVM)的文本分类基本原理及方法. |
| 关 键 词： | 文本分类 向量空间模型 支持向量机 |
| 文章编号： | 1004-0366（2006）03-0072-03 |
| 收稿时间： | 2005-10-12 |
| 修稿时间： | 2005-10-12 |
A Survey on Techniques of Text Categorization Based on Support Vector Machines |
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| ZHANG Yan-hua,WANG Hai-yong,ZHENG Li-ying. A Survey on Techniques of Text Categorization Based on Support Vector Machines[J]. Journal of Gansu Sciences, 2006, 18(3): 72-74 | |
| Authors: | ZHANG Yan-hua WANG Hai-yong ZHENG Li-ying |
| Abstract: | The techniques of text categorization,including its basic process are discussed. The methods of text categorization such as K-Nearest Neighbors, Naive Bayesian Classifier, Decision Trees are introduced. The principle and method of text categorization based on Support Vector Machines are also exotored. |
| Keywords: | text categorization vector space model support vector machines |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |