摘要
区别于以往采取专家系统、基于语义分析及基于关键字比较的分类方法 ,根据文本数据学习的特点 ,采用支持向量机 (SVM )来实现电子邮件的智能分类方法 .通过SVM方法与其他几种分类方法试验测试 ,结果发现 ,SVM方法效果最好 。
Different from the previous sorting procedures such as the expert system, text-based analysis and keyword-based comparison system, this paper adapt SVM to implement the intelligent sorting of the emails according to the text data learning characteristics. According to the tests by the SVM method and several other sorting methods, it was found that the SVM has the best performance. The experiment showed that this method can replace the human being on sorting and processing the emails by using artificial inte...
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2003年第S1期325-328,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)