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TEXT CLASSIFICATION WITH MACHINE LEARNING ALGORITHMS

عنوان مقاله: TEXT CLASSIFICATION WITH MACHINE LEARNING ALGORITHMS
شناسه ملی مقاله: TIAU01_166
منتشر شده در همایش ملی پژوهش های کاربردی در علوم و مهندسی در سال 1392
مشخصات نویسندگان مقاله:

n vasefisisi - Department of Computer, Shabestar Branch, Islamic Azad University, Shabestar, Iran
m FEIZIDERAKHSHI - Department of Computer, University of Tabriz, Tabriz, Iran

خلاصه مقاله:
By increasing the access to electronic documents and rapid growth of World Wide Web, documents classification task automatically has became a key method to organizing information and knowledge discovery. The appropriate classification of electronic documents, online news, weblogs, emails and digital libraries required for textmining, machine learning techniques and natural language processing is to obtain meaningful knowledge. The aim of this paper is to highlight the major techniques and methods applied in classification of documents. In this paper, we review some existing methods of text classification

کلمات کلیدی:
text mining, text classification, machine learning algorithm, classifiers

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/290733/