| 一种基于SVM的网页层次分类算法 |
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| 引用本文： | 马乐,翁智生,罗军. 一种基于SVM的网页层次分类算法[J]. 北京师范大学学报(自然科学版), 2009, 45(3) |
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| 作者姓名： | 马乐 翁智生 罗军 |
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| 作者单位： | 华南理工大学广州汽车学院,510800,广州 |
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| 基金项目： | 山东省自然科学基金资助项目(Y2007G19) |
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| 摘 要： | 设计了一种基于统计的多层次分类算法:在一个树状的层次分类体系中,对文档进行自动分类时,首先从根结点开始找到对应的大类,然后递归往下直到找到对应的最底层子类.每一层中使用支持向量机作为分类模型,并使用类别均衡的方法解决数据稀疏的问题,在经过大规模网页语料训练后取得了很好的分类效果.
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| 关 键 词： | 层次分类 支持向量机 网页分类 |
A HIERARCHY CATEGORIZATION ALGORITHM BASED ON SVM |
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| MA Yue,WENG Zhisheng,LUO Jun. A HIERARCHY CATEGORIZATION ALGORITHM BASED ON SVM[J]. Journal of Beijing Normal University(Natural Science), 2009, 45(3) |
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| Authors: | MA Yue WENG Zhisheng LUO Jun |
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| Affiliation: | College of Automotive Engineering;South China University of Technology at Guangzhou;510800;Guangzhou;China |
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| Abstract: | Web page classification plays an important role in information retrieval and social network.Focusing on features of various types and large scales for web pages,this paper provides a hierarchy categorization algorithm based on statistical classification algorithms.After building a categorization system for automatic classification,for a web page to be categorized,the first beginning from the root node to find the corresponding categories,and then it is categorized down until finding the corresponding recurs... |
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| Keywords: | hierarchy categorization support vector machines web page classification |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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