计算机与数字工程2012，Vol.40Issue(7)：87-88,149,3.
支持向量机在文本分类中的应用
Application of SVM in Text Categorization
段莹1
作者信息
- 1. 郑州航空工业管理学院计算机科学与应用系 郑州450015
- 折叠
摘要
Abstract
his paper proposes that a text categorization method based on Naive Bayes learning support vector machine. First the text pre-processing is adopted and according to the characteristics of the text reduce dimension. Then Naive Bayes algorithm is proposed to train the support vector machines. And SVM is used for new text categorization . Experiments show that our method achieves better precision .关键词
朴素贝叶斯/支持向量机/文本分类/准确率Key words
Naive Bayes, SVM, text categorization, precision分类
信息技术与安全科学引用本文复制引用
段莹..支持向量机在文本分类中的应用[J].计算机与数字工程,2012,40(7):87-88,149,3.
