摘要
对3种常用的文本分类方法进行了分析和比较,并进行了对比实验,结果表明支持向量机是进行文本分类较好的方法.最后讨论了支持向量机在文本分类中存在的缺点.
Three common methods of Text Categorization were analyzed and compared, and the contrast experiment had been carried on. The experimental result shows that SVM is a better method for text categorization. Finally we discuss the shortcoming of SVM which exists in the text classification.
出处
《太原师范学院学报（自然科学版）》
2007年第4期52-54,共3页
Journal of Taiyuan Normal University:Natural Science Edition
