| 基于文本挖掘的民声通道短信分类研究 |
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| 引用本文： | 梁丹凝,周书民.基于文本挖掘的民声通道短信分类研究[J].江西科学,2010,28(2):265-268. |
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| 作者姓名： | 梁丹凝 周书民 |
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| 作者单位： | 1. 东华理工大学信息与电子工程学院,江西,抚州,344000
2. 东华理工大学长江学院信息科学与工程系,江西,南昌,330000 |
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| 摘 要： | 根据短信可转化为文本的特性,将文本分类算法运用到短信处理技术之中。通过对短信文本进行预处理、特征选择及分类器等步骤,将短信文本按不同领域进行分类,最后分析意见所涉及的领域分类,有针对性地为政府决策提供可靠依据。
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| 关 键 词： | 文本挖掘 短信分类 特征选取 民声通道 |
Research on the Classification of MSTD SMS Based on Text Mining |
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| LIANG Dan-ning,ZHOU Shu-min.Research on the Classification of MSTD SMS Based on Text Mining[J].Jiangxi Science,2010,28(2):265-268. |
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| Authors: | LIANG Dan-ning ZHOU Shu-min |
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| Institution: | 1.College of Information and Electronic Engineering/a>;East China Institute of Technology/a>;Jiangxi Fuzhou 344000 PRC/a>;2.Department of Information Science and Engineering/a>;College of ChangJiang/a>;Jiangxi Nanchang 330000 PRC |
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| Abstract: | Based on the characteristic that SMS can change into text,this paper presents a thought that text classification algorithm can be used in the technology of SMS processing.SMS will be classified to different fields by preprocessing,feature section and classifier.At last,the reliable bases to government decision-making will be provided contrapuntally by analyzing the field classification of ideas. |
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| Keywords: | Text mining SMS classification Feature selection MSTD |
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