摘要
对文本特征表示模型和文本特征提取方法进行了探讨,分析了分类效果的影响因素,设计了一种动态调整训练集的文本分类算法,并结合支持向量机验证了该分类系统的类别特征信息和分类适应性.
training methods data are Increase can this paper, a Chinese text classification system is explored and a new method called dynamic set is presented. During the classifying process, features and drawbacks of the traditional discussed. By analyzing the experimental results according to this new method, a considerable be obtained in the classification accuracy of support vector machine.
出处
《湖北工业大学学报》
2009年第5期57-60,共4页
Journal of Hubei University of Technology
关键词
文本分类
训练集
支持向量机
text classification
training data set
support vector machine
