| 基于蚁群智能算法的文本分类研究 |
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| 引用本文： | 罗新,王兆礼,路永和. 基于蚁群智能算法的文本分类研究[J]. 图书情报工作, 2011, 55(2): 103-106 |
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| 作者姓名： | 罗新 王兆礼 路永和 |
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| 作者单位： | 1. 华南理工大学工商管理学院;2. 华南理工大学土木与交通学院;3. 中山大学资讯管理系; |
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| 摘 要： | 面对海量、异构、动态的文本信息,对文本进行自动分类具有重要意义.文本分类的发展与模式识别的发展密切相关.文本分类具有的类目多、样本数目多、噪音多、各类别样本数目不均衡等特点,使各模式识别算法在应用于文本分类时存在许多缺点.近年来逐步发展起来的群集智能(Swarm Intelligence)理论和方法为文本分类提供一种新...
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| 关 键 词： | 文本分类 群集智能 蚁群智能算法 |
| 收稿时间： | 2010-08-02 |
A Study of Text Classification Based on Ant Colony Optimization |
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| Luo Xin,Wang Zhaoli,Lu Yonghe. A Study of Text Classification Based on Ant Colony Optimization[J]. Library and Information Service, 2011, 55(2): 103-106 |
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| Authors: | Luo Xin Wang Zhaoli Lu Yonghe |
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| Affiliation: | 1. School of Business Administration, South China University of Technology,;2. School of civil and transportation engineering, South China University of Technology,;3. Department of Information Management, Sun Yat sen University,; |
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| Abstract: | It's significance for us to study text auto classification,when we face so much dynamic information.The development of text classification has a close connection with pattern recognition.However,some peculiarity of text classification,such as it has many classes,much noise,and excessive samples,make pattern recognition difficult to classify texts.recently,swarm intelligence provides a new intellectualized method to text classification.This paper tentatively leads ant colony optimization,a ripe algorithm of ... |
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| Keywords: | text classification swarm intelligence ant colony optimization |
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