This paper presents some research on automatic Chinese text categorization system (CATCS).
本文就中文自动文本分类系统进行了一些研究。
This paper proposes an example based mapping method, which USES Chinese properties of CCs for Chinese text categorization.
本文提出了一种根据汉字统计特性和基于实例映射的中文文本自动分类模型。
Through this platform we studied the performance of most of traditional algorithms when they are now used in Chinese text categorization.
该平台对大多数分类中使用的算法在中文文本分类中的应用效果进行了研究。
To verify efficiency of the new feature selection approach and improved TF-IDF formula, a multi-set of experiments base on the Chinese text categorization test system platform have been taken.
本文在中文文本分类实验平台上,通过多组对比实验来考察本文提出的新的特征提取方法和改进的TF-IDF方法的有效性。
A new literature categorization method based on the manual labeling in Chinese academic journals is introduced to solve the text categorization problem for electronic journal data processing.
为了解决期刊电子化的自动分类问题,提出了一种基于中文学术期刊人工标引的自动分类算法。
The system can preferably implement automatic text categorization for Chinese pages, and has a higher quality.
该系统可以很好地实现一个中文网页的自动分类,且系统中的分类器具有较高的分类质量。
This paper introduces a method on automatic text categorization based on the statistic features of Chinese characters.
提出了一种基于字特征的中文文本分类方法。
This paper introduces a method on automatic text categorization based on the statistic features of Chinese characters.
提出了一种基于字特征的中文文本分类方法。
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