【摘要】 把计算生物学中DNA序列分析的一种方法应用到文本分类中,通过分析文档集所产生的可描述类别内在特征的特征序列,给出了一种文本分类方法SSAM,并在Reuters21578数据集上和其它几种常见分类方法的分类效果进行了比较,实验结果显示SSAM的分类效果优于传统的贝叶斯方法,而且具有较快的分类速度。更多还原

【Abstract】 This paper applies a method of DNA sequence analysis in computational biology to text classification, and puts forward a textclassifying method called SSAM by analyzing the signature sequences generated by a document collection. The experimental result on Reuters21578and the comparison with several other text classifying methods prove SSAM has a better performance than Naive Bayes, and has a rapid classifyingspeed.更多还原