Feature selection is a valid method to reduce the dimension of text vector in automatic text categorization system.
在自动文本分类系统中，特征选择是有效降低文本向量维数的一种方法。
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。
This research is to accumulate experience and shed light on quantitative analysis of children's literature, automatic text categorization, as well as authorship attribution.
本研究对量化分析儿童文学有积极意义和指导作用，并为语言分类处理和作者鉴定积累了经验。
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。
Automatic text categorization is the assigning of pre - defined category to a new text based on its content.
自动文本分类就是在给定的分类体系下，让计算机根据文本的内容确定与它相关联的类别。
Automatic text categorization, which is based on artificial intelligence technology, is the base of how to effectively utilize e-form text data.
基于人工智能技术的自动文本分类是有效利用电子化文本数据的基础。
Automatic text categorization, which is based on artificial intelligence technology, is the base of how to effectively utilize e-form text data.
基于人工智能技术的自动文本分类是有效利用电子化文本数据的基础。
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