This paper presents a rough set theory based on the text classification.
文章提出了一种基于粗糙集理论的文本分类方法。
The experiment result shows this concept mapping method and the text classification based on concept can distinctively improve text classification precision.
实验结果表明，基于类别核心词的概念映射方法及相应的基于概念的文本分类能够有效提高文本分类的精度。
The idea is to extract the core words of class first, then use HowNet to map key words space to concept space based on core words, finally finish the text classification pr.
在此提出一种基于类别核心词的概念映射方法，首先从文本中抽取类别核心词，借助《知网》将特征词映射到基于类别核心词的概念空间，然后在概念空间上完成文本分类工作。
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