Browsing by Author "Mansur, Munirul"

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    Analysis of N-Gram based text categorization for Bangla in a newspaper
    (BRAC University, 2006) Mansur, Munirul; UzZaman, Naushad; Khan, Mumit
    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.
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    Analysis of N-Gram based text categorization for Bangla in a newspaper corpus
    (BRAC University, 2006-08) Mansur, Munirul; Khan, Mumit
    The goal of any classification is to build a set of models that can correctly predict the class of different objects. Text categorization is one such application and can be used in many classification task, e.g. news categorization, language identification, authorship attribution, text genre categorization, recommendation systems etc. In this paper we analyze the performance of n-gram based text categorization for Bangla in a Bangladeshi newspaper, Prothom-Alo corpus.