Classification of Arabic Documents

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The final project technical report in pdf format, describes the project details, steps, implementation and results (1.3 MB)
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The final project technical report (MS word), describes the project details, steps, implementation and results (677.76 KB)
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The project final presentation (Power Point) (350.63 KB)
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The project final presentation (pdf) (2.77 MB)
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Rar file containing the codes used in the project, the data set used for training and classification, and readme.txt file that explains how to use these code files (1.29 MB)
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TR Number

Date

2012-12-19

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Abstract

Arabic language is a very rich language with complex morphology, so it has a very different and difficult structure than other languages. So it is important to build an Arabic Text Classifier (ATC) to deal with this complex language. The importance of text or document classification comes from its wide variety of application domains such as text indexing, document sorting, text filtering, and Web page categorization. Due to the immense amount of Arabic documents as well as the number of internet Arabic language users, this project aims to implement an Arabic Text-Documents Classifier (ATC).

Description

Keywords

IR, Arabic Text Classification, Arabic Stemmer

Citation

Persistent link

http://hdl.handle.net/10919/19096

Collections

CS5604: Information Retrieval