摘要
结合传统的训练—分类文本分类算法与反馈方法,使文本分类过程成为一个“学习—应用—再学习”的逐步求精过程,在分类器的构造中加入反馈技术,并通过实验分析了算法的性能,实验证明算法是可行的。
Combining with the traditional training-categorization framework and feedback, a Chinese text categorization algorithm was proposed. This algorithm made the process of text categorization be a “ learn-application-learn again” one, added feedback technique to the construction of categorization machine. The efiqciency of the algorithm was analyzed. Experiment results show that the algorithm is feasible.
出处
《计算机应用》
CSCD
北大核心
2005年第12期2862-2864,共3页
journal of Computer Applications
关键词
文本分类
反馈
数据挖掘
text categorization
feedback
data mining
