| 基于核覆盖算法的中文文本分类研究 |
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| 引用本文： | 杨丽玲.基于核覆盖算法的中文文本分类研究[J].吉林师范大学学报（自然科学版）,2014(4):133-135. |
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| 作者姓名： | 杨丽玲 |
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| 作者单位： | 漳州职业技术学院 计算机工程系,福建 漳州,363000 |
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| 摘 要： | 文中介绍了使用核覆盖算法进行中文文本分类.研究了采取不同的特征选取方法、利用核覆盖算法进行文本分类的区别.通过实验,除互信息外的其它几种特征选取方法在核覆盖算法分类过程中均取得了较优的实验结果,可看出核覆盖算法在文本分类中是一个不错的方法.
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| 关 键 词： | 文本分类 核覆盖算法 特征选取 |
Chinese Text Classification Study Based on the Kernel Covering Algorithm |
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| YANG Li-ling.Chinese Text Classification Study Based on the Kernel Covering Algorithm[J].Jilin Normal University Journal(Natural Science Edition),2014(4):133-135. |
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| Authors: | YANG Li-ling |
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| Institution: | YANG Li-ling ( Department of Computing Engineering, Zhangzhou College of Vocational Technology, Zhangzhou 363000, China) |
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| Abstract: | The paper introduced the Chinese text classification based on the kernel covering algorithm,researched distinction of text classification based on the kernel covering algorithm using kinds of different feature selection. Through the experiments,kinds of feature selection except mutual information in the kernel covering algorithm used in classification got good experimental result and the kernel covering algorithm was a good way in Chinese text classification. |
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| Keywords: | text classification kernel covering algorithm feature selection |
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