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

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    Analysis of N-gram based.pdf (223.8Kb)
    Date
    2006
    Publisher
    BRAC University
    Author
    Mansur, Munirul
    UzZaman, Naushad
    Khan, Mumit
    Metadata
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    URI
    http://hdl.handle.net/10361/623
    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.
    Keywords
    Description
    Includes bibliographical references (page 7).
    Department
    Center for Research on Bangla Language Processing (CRBLP), BRAC University
    Collections
    • Conference Papers (Centre for Research on Bangla Language Processing)

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