| 基于SVM的文本分类系统设计与实现 |
| |
| 引用本文： | 陈子昕.基于SVM的文本分类系统设计与实现[J].东莞理工学院学报,2008,15(3):38-43. |
| |
| 作者姓名： | 陈子昕 |
| |
| 作者单位： | 东莞理工学院,城市学院,广东东莞,523106 |
| |
| 摘 要： | 文本分类是指在给定分类体系下，根据文本的内容自动确定文本类别的过程．阐述了一个文本分类系统的设计和实现。对文本分类系统的系统结构、预处理、特征提取、词义扩展、学习和识别过程、分类算法等进行了详细介绍。引入smooth技术改进词语权重，介绍向量空间模型．结果表明查全率和准确率均达到80％左右，而且smooth的引入有效地改善了分类性能．
|
| 关 键 词： | 文本分类 分类算法 特征提取 词义扩展 向量空间模型 |
Design and Lmplementation of Text Classificaton System Based on SVM |
| |
| CHEN Zi-xing.Design and Lmplementation of Text Classificaton System Based on SVM[J].Journal of Dongguan Institute of Technology,2008,15(3):38-43. |
| |
| Authors: | CHEN Zi-xing |
| |
| Institution: | CHEN Zi-xing City College,Dongguan Univarsity of Technology,Dongguan 523106,China |
| |
| Abstract: | Text classification is a procedure which can auto-classify the texts according to their contents in the given classification architecture.This paper presents the design and implementation of a text classification system. We introduce in detail these parts:the system architecture,pre-processing,feature extraction,semantic expansion,the procedure of learning and recognition,and the classification algorithms.We use the smooth technique to improve the weight of words,and present a vector space model.The experim... |
| |
| Keywords: | text classification feature extraction semantic expansion classification algorithms vector space mode |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
