对简单向量距离文本分类算法的改进

Improvement of the Vector Space Model Text Classifier

分析了简单向量距离文本分类算法的不足,提出了相应的改进算法。把反馈思想引入简单向量距离分类模型,使文本分类系统具备了不断学习的能力。实验证明,改进后的文本分类模型适合于文本分类的需要,改善了原有分类器的性能。

The paper analyzed the shortcomings of vector space method and put forwards a better method to improve it. It introduced feedback learning into vector space method text classifier, let text categorization system have capability of self-learning. Experiment shows that the revised text categorization model is used to the need of text categorization, and improves the performance of former one.