| 文本自动分类中的词权重与分类算法 |
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| 引用本文： | 刁倩,王永成,何骥,张惠惠.文本自动分类中的词权重与分类算法[J].中文信息学报,2000,14(3):25-29. |
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| 作者姓名： | 刁倩 王永成 何骥 张惠惠 |
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| 作者单位： | 1.上海交通大学电脑应用技术研究所2.上海交通大学图书馆 |
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| 摘 要： | 本文详细阐述了自动分类中的词与文献的相关权重的经典计算方法IDF(Inverse Document Frequency) ,进一步总结了两种典型的分类算法——Bayes判别准则与向量空间模型(VSM) ,并提出结合词权重和分类算法进行分类的具体公式以及相关实验结果。
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| 关 键 词： | 自动分类 IDF Bayes判别准则 向量空间模型(VSM) |
| 修稿时间： | 1999年8月20日 |
Term Weighting and Classification Algorithms |
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| Diao Qian Wang Yongcheng Zhang Huihui He Ji Institute of Computer Technology,Shanghai Jiao Tong University Shanghai Bao Zhaolong Library of Shanghai Jiao Tong University Shanghai.Term Weighting and Classification Algorithms[J].Journal of Chinese Information Processing,2000,14(3):25-29. |
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| Authors: | Diao Qian Wang Yongcheng Zhang Huihui He Ji Institute of Computer Technology Shanghai Jiao Tong University Shanghai Bao Zhaolong Library of Shanghai Jiao Tong University Shanghai |
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| Affiliation: | 1.Institute of Computer Technology , Shanghai Jiao Tong University2.Bao Zhaolong Library of Shanghai Jiao Tong University |
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| Abstract: | In this paper ,a classical term weighting method — IDF (Inverse Document Frequency) is discussed detailedly. The two important classification algorithms — Bayes Judge Rule and VSM (Vector Space Model) are summarized. Furthermore , the way of how to combine term weighting methods with two classification algorithm is also provided in the paper. |
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| Keywords: | Automatic classification IDF Bayes judge rule VSM |
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