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Analysis of N-Gram based text categorization for Bangla in a newspaper

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Show simple item record Mansur, Munirul UzZaman, Naushad Khan, Mumit 2010-10-21T09:14:58Z 2010-10-21T09:14:58Z 2006 2006
dc.description Includes bibliographical references (page 7).
dc.description.abstract In this paper, we study the outcome of using ngram based algorithm for Bangla text categorization. To analyze the efficiency of this methodology we used one year Prothom-Alo news corpus. Our results show that n-grams of length 2 or 3 are the most useful for categorization. Using gram lengths more than 3reduces the performance of categorization. en_US
dc.description.statementofresponsibility Munirul Mansur
dc.description.statementofresponsibility Naushad UzZaman
dc.description.statementofresponsibility Mumit Khan
dc.format.extent 7 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.title Analysis of N-Gram based text categorization for Bangla in a newspaper en_US
dc.type Article en_US
dc.contributor.department Center for Research on Bangla Language Processing (CRBLP), BRAC University

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