摘要
分析了基于支持向量机(SVM)的文本分类方法,在此基础上,提出一种由SVM和概率统计方法相结合的文本分类方法。详细介绍该方法的实现原理、算法描述和工作流程,并进行实验测试。
The authors introduces text classification method based on the support vector machine(SVM),and proposes a new text classification method which unifies by the SVM and probability and statistics.While Introducing the method's principle,algorithm description and workflow,the authors are making experimental testing.
出处
《柳州职业技术学院学报》
2010年第2期109-113,共5页
Journal of Liuzhou Vocational & Technical College
关键词
SVM
概率统计
文本分类原理
算法流程
准确率
SVM
probability and statistics
text classification
algorithm flow
accuracy