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    •   HSTUL IR
    • Faculty of Computer Science and Engineering
    • Dept. of Computer Science and Engineering
    • Masters Thesis
    • View Item
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    NEWS FILTERING VIA NAIVE BAYES TEXT CLASSIFICATION: A DATA MINING APPROACH

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    Sanjoy Roy Duke Student ID: 0702013 Session: 2007 (5.141Mb)
    Date
    2012-01
    Author
    Duke, Sanjoy Roy
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    URI
    http://localhost:8080/xmlui/handle/123456789/535
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    • Masters Thesis
    Abstract
    In recent world information increased all the time. People get data from various sources. Thus the electronic media get news and provide those news to the people all the time. They have to collect information and gather data in a particular area and also need to classify that information. This process is lengthy and difficult to maintain the accuracy of the classification in a sort of time.

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