| 文本分类的归纳学习算法和描述 |
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| 引用本文： | 郑东飞,石冰.文本分类的归纳学习算法和描述[J].计算机工程与设计,2006,27(4):679-681. |
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| 作者姓名： | 郑东飞 石冰 |
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| 作者单位： | 山东大学,计算机科学与技术学院,山东,济南,250061 |
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| 摘 要： | 文本分类将自然语言文本接内容归入一个或多个预定义类别中，在许多信息组织和管理中都是一项重要的内容。不同算法的分类准确性各不相同。通过训练实例可以得到准确率很高的文本分类器。
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| 关 键 词： | 文本分类 分类 机器学习 信息管理 |
| 文章编号： | 1000-7024（2006）04-0679-03 |
| 收稿时间： | 2004-12-16 |
| 修稿时间： | 2004-12-16 |
Inductive learning algorithms and representations for text categorization |
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| ZHENG Dong-fei,SHI Bing.Inductive learning algorithms and representations for text categorization[J].Computer Engineering and Design,2006,27(4):679-681. |
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| Authors: | ZHENG Dong-fei SHI Bing |
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| Affiliation: | College of Computer Science and Technology, Shandong University, Jinan 250061, China |
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| Abstract: | Text categorization -assignment of natural language texts to one or more predefined categories based on their content- is an important component in many information organization and management tasks. Different automatic learning algorithms for text categorization have different classification accuracy. Very accurate text classifiers can be learned automatically from training examples. |
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| Keywords: | text categorization classification machine learning information management |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
