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dc.contributor.author Elbery, Ahmed
dc.date.accessioned 2012-12-19T16:21:48Z
dc.date.available 2012-12-19T16:21:48Z
dc.date.issued 2012-12-19
dc.identifier.uri http://hdl.handle.net/10919/19096
dc.description.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). en_US
dc.language.iso en en_US
dc.rights CC0 1.0 Universal *
dc.rights.uri http://creativecommons.org/publicdomain/zero/1.0/ *
dc.subject IR, Arabic Text Classification, Arabic Stemmer en_US
dc.title Classification of Arabic Documents en_US
dc.type Presentation en_US
dc.type Software en_US
dc.type Technical Report en_US

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CC0 1.0 Universal Except where otherwise noted, this item's license is described as CC0 1.0 Universal
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