关键词: 文本分类 支持向量机 球向量机

Abstract:

In recent years, SVM （Support Vector Machine） for text classification has been regarded as one of the important progresses in the text classification field. Many experiments show that SVM has higher classification accuracy than any other machine learning algorithms in text classification, but it has a slower rate of convergence for large-scale data, which becomes a big flaw in its practice. BVM （Ball Vector Machine） is a faster machine learning algorithm than SVM. This paper applies BVM to text categorization. Experiments on real-world text data sets demonstrate that BVM has accuracies comparable to SVM, but is much faster than SVM.

Key words: text classification, SVM, BVM