摘要： 以路透社财经新闻语料库为实验数据集,比较了主流文本表示方式BOW和独立于语言的字符串表示方式n-Gram,在k近邻和支持向量机分类器下的分类效果,得出了上述两种不同文本表示方式的分类结果之间不存在显著差异的结论。

关键词: 文本分类, 文本表示, 支持向量机, k近邻, 秩和检验

Abstract: To compare the impact of two different text representation methods on the performance of support vector machines and k-nearest neighbor classifiers extensive experimental, studies are conducted on Reuters-21578 datasets. Statistical analysis of these experimental results shows that there is no significant difference between the two text representation methods.

中图分类号: 

• TP391.1