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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:

期数:

2011年06期

页码:

112-115

栏目:

智能、算法、系统工程

出版日期:

1900-01-01

文章信息/Info

Title:

Research of Chinese Sentences Subjectivity and Objectivity Based on Rough Set Theroy

文章编号:

1673-629X（2011）06-0112-04

作者:

李龙澍¹ 张晓红² 赵志伟¹

[1]安徽大学计算智能与信号处理教育部重点实验室[2]安徽大学计算机科学与技术学院

Author(s):

LI Long-shu; ZHANG Xiao-hong; ZHAO Zhi-wei

[1]Ministry of Education Key Laboratory of Intelligent Computing and Signal Processing,Anhui University[2]School of Computer Science and Technology,Anhui University

关键词:

文本处理; 主观性; 粗糙集; 属性约简

Keywords:

text processing;  subjectivity;  rough set theory;  attribution reduction

分类号:

TP31

文献标志码:

A

摘要:

随着互联网的发展,各种文本信息资源量急剧增加。如何从海量信息中挖掘出这些有用的并进行分类、获取其中潜在的信息,已经成为数据挖掘、知识发现和中文文本处理等领域的一项最新的研究课题。粗糙集理论是一种对不确定数据进行分类的数学工具,在保持基本的分类能力不变的情况下,进行属性和知识约简,从而减少数据挖掘的原始数据,提高知识发现的效率。将粗糙集属性约简算法运用于文本主客观性研究中,提高了文本主客观性判断的效率

Abstract:

As the development of internet,many kinds of text information have increased sharply.How to get and classify the information and finally get the potential information has become a new research subject in data mining,knowledge discovery and text processing areas.Rough set theory is a mathematical tool used in classification of indefinite data.The application of the rough set theory for image classification is to utilize equivalence relation classes through attribution reduction and decision rule reduction,and to obtain the reduction of knowledge and improve the efficiency of date mining in the case of keeping the same ability for classification.Apply the attribution reduction of rough set theory to the research of subjectivity in text processing to improve the efficiency to judge the text subjectivity

备注/Memo

备注/Memo:

安徽省自然科学基金（090412054）李龙澍（1956-），男，安徽亳州人，教授，博士生导师，研究方向为知识工程、软件分析与测试

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更新日期/Last Update: 1900-01-01