| 覆盖算法在文本分类中的应用 |
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| 引用本文： | 孟杰,耿正,严莉莉,张燕平.覆盖算法在文本分类中的应用[J].微机发展,2007,17(7):183-185. |
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| 作者姓名： | 孟杰 耿正 严莉莉 张燕平 |
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| 作者单位： | 安徽大学计算智能与信号处理重点实验室 安徽合肥230039 |
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| 基金项目： | 973计划(国家重点基础研究)(2004CB318108)，安徽省自然科学基金项目(0504200208) |
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| 摘 要： | 介绍了文本分类的基本过程以及朴素贝叶斯和K近邻算法等基本分类方法,给出了基于覆盖的构造性神经网络分类算法,并将其与朴素贝叶斯和KNN作了实验比较。结果表明,该算法具有较好的分类性能,适合于处理大规模的文本分类任务,从而有效地克服了传统文本分类算法的不足。
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| 关 键 词： | 文本分类 神经网络 覆盖算法 基于覆盖的构造性神经网络 |
| 文章编号： | 1673-629X(2007)07-0183-03 |
| 修稿时间： | 2006年9月14日 |
Application of Cover Algorithm in Text Categorization |
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| MENG Jie,GENG Zheng,YAN Li-li,ZHANG Yan-ping.Application of Cover Algorithm in Text Categorization[J].Microcomputer Development,2007,17(7):183-185. |
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| Authors: | MENG Jie GENG Zheng YAN Li-li ZHANG Yan-ping |
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| Abstract: | Introduced the basic process of text categorization and several basic categorization methods such as naive Bayes and K nearest neighbor algorithm.Then it presented cover based constructive neural networks,and compared it with NB and KNN.Experimental results showed that this algorithm had better classification capability and it was fit for dealing with large-scale task of text categorization,accordingly it could overcome the disadvantage of traditional text categorization. |
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| Keywords: | text categorization neural networks cover algorithm cover based constructive neural networks |
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