NDLI: A Novel Feature Selection Approach and Feature Weight Adjustment Technique in Text Classification

Content Provider	IEEE Xplore Digital Library
Author	Yixing Liao Xuezeng Pan
Copyright Year	2009
Abstract	Feature selection and feature weight calculating are key preprocesses in text classification. A new feature selection approach based on average interaction gain(AIG) is presented and a new feature weight adjustment technique(WA) taking inter-class distribution and intra-class distribution into consideration is presented too. Then a new approach combining AIG with WA called AIG-WA is presented. In the following experiments, we use a support vector machine(SVM) classifier to compare the performance of AIG and AIG-WA with the commonly used feature selection algorithms. Better performances are obtained when applying this method on Chinese text dataset provided b Fudan Database Center.
Starting Page	41
Ending Page	44
File Size	323726
Page Count	4
File Format	PDF
ISBN	9780769539034
DOI	10.1109/SERA.2009.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text categorization Frequency Mutual information Computer science Information filtering Information filters Computational efficiency Entropy Software engineering Conference management
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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A Novel Feature Selection Approach and Feature Weight Adjustment Technique in Text Classification