| 对简单向量距离文本分类算法的改进 |
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| 引用本文： | 王治和,杨延娇.对简单向量距离文本分类算法的改进[J].计算机科学,2009,36(1):236-238. |
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| 作者姓名： | 王治和 杨延娇 |
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| 作者单位： | 西北师范大学数学与信息科学学院,兰州,730070 |
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| 摘 要： | 分析了简单向量距离文本分类算法的不足,提出了相应的改进算法.把反馈思想引入简单向量距离分类模型,使文本分类系统具备了不断学习的能力.实验证明,改进后的文本分类模型适合于文本分类的需要,改善了原有分类器的性能.
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| 关 键 词： | 文本分类 简单向量距离 反馈 分类模型 |
| 收稿时间： | 5/2/2008 12:00:00 AM |
Improvement of the Vector Space Model Text Classifier |
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| WANG Zhi-he,YANG Yan-jiao.Improvement of the Vector Space Model Text Classifier[J].Computer Science,2009,36(1):236-238. |
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| Authors: | WANG Zhi-he YANG Yan-jiao |
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| Affiliation: | College of Mathematics and Information Science;Northwest Normal University;Lanzhou 730070;China |
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| Abstract: | The paper analyzed the shortcomings of vector space method and put forwards a better method to improve it.It introduced feedback learning into vector space method text classifier,let text categorization system have capability of self-learning.Experiment shows that the revised text categorization model is used to the need of text categorization,and improves the performance of former one. |
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| Keywords: | Text categorization Vector space method Feedback Categorization model |
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