This paper mainly focus on the text classification algorithms.
本文研究文本的自动分类算法。
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。
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