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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Analysis of N-Gram based text categorization for Bangla in a newspaper corpus

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    Analysis of N Gram based text categorization.pdf (521.2Kb)
    Date
    2006-08
    Publisher
    BRAC University
    Author
    Mansur, Munirul
    Metadata
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    URI
    http://hdl.handle.net/10361/61
    Abstract
    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.
    Keywords
    Computer science and engineering
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2006.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 30).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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