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dc.contributor.authorElbery, Ahmed
dc.date.accessioned2012-12-19T16:21:48Z
dc.date.available2012-12-19T16:21:48Z
dc.date.issued2012-12-19
dc.identifier.urihttp://hdl.handle.net/10919/19096
dc.description.abstractArabic 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.isoenen_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectIR, Arabic Text Classification, Arabic Stemmeren_US
dc.titleClassification of Arabic Documentsen_US
dc.typePresentationen_US
dc.typeSoftwareen_US
dc.typeTechnical Reporten_US


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