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العنوان
AN INTELLIGENT SYSTEM FOR AUTOMATED ARABIC TEXT CATEGORIZATION/
الناشر
AIN SHAMS University. Faculty of Computer & Information Sciences. Department of Computer Science,
المؤلف
Habib, Mena Badieh
هيئة الاعداد
مشرف / Zaki Taha Fayed
مشرف / Mostafa Mahmoud Syiam
مشرف / Habib, Mena Badieh
مشرف / Zaki Taha Fayed
مشرف / Tarek Fouad Gharib
تاريخ النشر
2008 .
عدد الصفحات
92 p.
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Computer Science Applications
تاريخ الإجازة
1/1/2008
مكان الإجازة
اتحاد مكتبات الجامعات المصرية - Computer Science
الفهرس
Only 14 pages are availabe for public view

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Abstract

New technological developments have resulted in a dramatic increase in the availability of on-line text-newspaper articles, incoming (electronic) mail, technical reports, etc. This led to the need for methods that help users organize such information. Text Categorization may be the solution for the increased need for advanced techniques. Text Categorization is the classification of units of natural language texts with respect to a set of predefined categories. Categorization of documents is challenging, as the number of discriminating words can be very large. Machine learning approaches are applied to build an automatic text classifier by learning from a set of previously classified documents.