基于主观Bayes方法的渐进式中文文档分类

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本文介绍基于主观Bayes方法的渐进式中文文档分类.包括三个方面:一是应用主观Bayes方法,利用领域专家的经验,减少复杂的计算量.二是采用渐进式中文文档分类,先进行粗分类,把文档集映射到大的类别集中去,再对属于每一大类别中的文档子集进行细分类,映射到次级类别中去,直到划分到最后的基类.三是选择文档属性时,采用相邻字对提取方法,某种程度可摆脱对复杂切词处理程序和庞大词库的依赖.
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