NDLI: Method of Chinese Text Categorization Based on Variable Precision Rough Set

Content Provider	IEEE Xplore Digital Library
Author	Ming-Yan Wang Ting Liu
Copyright Year	2009
Abstract	Text categorization is an important research direction of current information retrieval. The traditional text classification method use the support vector machine (SVM) and the Bayes classification algorithm (etc).On the basis of Rough Set on text categorization,this paper put forward the idea of variable precision rough set model for Chinese text categorization,which use the attribute reduct algorithm based on the importance of attributes as heuristic information to reduct the feature subset of the text,and analyses the influence of error classification rate on text classification It can increase the flexibility of text categorization and improve the accuracy of text classification by setting different value to find the the best.
Starting Page	26
Ending Page	29
File Size	216375
Page Count	4
File Format	PDF
ISBN	9781424464203
e-ISBN	9781424464210
DOI	10.1109/IITAW.2009.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	text categorization Classification algorithms Information technology Least squares methods Support vector machines attribute reduct Bayesian methods variable precision rough set Text categorization Support vector machine classification Set theory Decision trees Classification tree analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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