Search In this Thesis
   Search In this Thesis  
العنوان
Improving Arabic Text Categorization Systems
الناشر
Rouhia Mohammed Ghaleb Sallam,
المؤلف
Sallam, Rouhia Mohammed Ghaleb
هيئة الاعداد
باحث / روحية محمد غالب سالم
مشرف / حمدي محمد موسي
مناقش / ايمن السيد احمد
مناقش / اشرف بهجات السيسي
الموضوع
text categorization
تاريخ النشر
2016 .
عدد الصفحات
81 p.
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Computer Science Applications
تاريخ الإجازة
15/11/2016
مكان الإجازة
جامعة المنوفية - كلية الحاسبات والمعلومات - علوم الحاسب
الفهرس
Only 14 pages are availabe for public view

from 99

from 99

Abstract

Text categorization is the process of grouping texts into one or more predefined categories based on their content. Today,due to increasing revolution of technology and especially, the Internet as the primary source for the last few years of this century, the amount of accumulated electronic text is increasing rapidly. However, in Arabic language there is a very limited work in automic classification.Classifying Arabic text is different from classifying English text beacause Arabic is highly inflectional and derivational language which makes monophonic analysis a very complex task.