| 基于内容的垃圾短信过滤 |
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| 引用本文： | 李辉,张琦,卢湖川. 基于内容的垃圾短信过滤[J]. 计算机工程, 2008, 34(12): 154-156 |
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| 作者姓名： | 李辉 张琦 卢湖川 |
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| 作者单位： | 1. 大连理工大学管理学院,大连,116023;中国移动辽宁公司,沈阳,110179
2. 大连理工大学,大连,116023 |
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| 摘 要： | 研究一种基于最小风险贝叶斯决策的垃圾短信过滤方法。对于以文本信息为主的短信，采用信息增益的方法进行特征选择，使用基于最小风险贝叶斯决策方法进行分类。通过自建短信语料库对该方法进行了实验。实验结果表明，该方法能够准确地对短信进行分类，降低合法短信的分类错误率，分类正确率达到99.3%，符合了短信分类要求。
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| 关 键 词： | 垃圾短信 短信过滤 文本分类 朴素贝叶斯 |
Junk SMS Filtering Based on Context |
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| LI Hui,ZHANG Qi,LU Hu-chuan. Junk SMS Filtering Based on Context[J]. Computer Engineering, 2008, 34(12): 154-156 |
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| Authors: | LI Hui ZHANG Qi LU Hu-chuan |
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| Affiliation: | (1. School of Management, Dalian University of Technology, Dalian 116023; 2. Liaoning Mobile Communications Limited Liability Company, Shenyang 110179; 3. Dalian University of Technology, Dalian 116023) |
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| Abstract: | This paper analyzes a junk message filtering system based on the minimum risk Bayesian filtering algorithm, adopts Information Gain(IG) to select the feature, uses the minimum risk-based Bayesian filtering algorithm to classify. The experimental result, which data set is constructed by the real SMS from mobile company, shows that the method has a good performance on classification and low error rate on legit messages. The legit messages recall has achieve 99.3%. It’s suitable for SMS classification. |
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| Keywords: | junk message SMS filtering text classification naï ve Bayesian |
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