文本自动分类研究——基于径向基函数

Research on the Text Automatic Classification Based on Radial Basis Function

目前的文本分类还是以人工分类为主,为了减少人工分类的不确定性和分类错误,将径向基函数(RBF)算法引入文本自动分类系统,实现文本的自动分类。实验结果表明,采用RBF构造的分类器在文本自动分类中具有较好的分类性能,其测试平均值(F1)比BP、kNN分类器的F1值都要高。

Text classification still uses manual operation. In order to reduce the poor consistency and the classification error, this article will introduce radial basis function （RBF） algorithm into text auto-classification system, and realize the automatic classification of text. The experimental results show that RBF classifier has better classification performance. The average F1 value is higher than the classifier of BP and kNN.