NDLI: Combining homogeneous classifiers for centroid-based text classification

Content Provider	IEEE Xplore Digital Library
Author	Lertnattee, V. Theeramunkong, T.
Copyright Year	2002
Description	Author affiliation: Inf. Technol. Program, Thammasart Univ., Pathumthani, Thailand (Lertnattee, V.; Theeramunkong, T.)
Abstract	Centroid-based text classification is one of the most popular supervised approaches to classify texts into a set of pre-defined classes. Based on the vector-space model, the performance of this classification particularly depends on the way to weight and select important terms in documents for constructing a prototype class vector for each class. In the past, it was shown that term weighting using statistical term distributions could improve classification accuracy. However, for different data sets, the best weighting systems are different. Towards this problem, we propose a method that uses homogenous centroid-based classification. The effectiveness of this approach is explored using four data sets. Two main factors are taken into account: model selection and score combination. By experiments, the results show that our system can improve the classification accuracy up to 7.5-8.5% compared to k-NN classifier, 3.7-4.0% compared with the naive Bayes classifier and 1.6-2.7% over the best single-model classification method (p<0.05).
Sponsorship	IEEE Commun. Soc. IEEE Comput. Soc
Starting Page	1034
Ending Page	1039
File Size	280986
Page Count	6
File Format	PDF
ISBN	0769516718
ISSN	15301346
DOI	10.1109/ISCC.2002.1021799
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-07-01
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text categorization Support vector machines Support vector machine classification Information technology Statistics Bayesian methods Prototypes Classification algorithms Frequency Character recognition
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Computer Networks and Communications Signal Processing Software Mathematics

Sl.	Authority	Responsibilities	Communication Details
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	Mr. Siddhartha Mukherjee siddhartha@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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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