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Please use this identifier to cite or link to this item:

http://hdl.handle.net/20.500.12358/25196
TitleArabic morphological tools for text mining
Untitled
Abstract

Arabic Language has complex morphology; this led to unavailability to standard Arabic morphological analysis tools until now. In this paper, we present and evaluate existing common Arabic stemming/light stemming algorithms, we also implement and integrate Arabic morphological analysis tools into the leading open source machine learning and data mining tools, Weka and RapidMiner.

Authors
Saad, Motaz K
Ashour, Wesam M.
TypeJournal Article
Date2010
Subjects
arabic stemming / light stemming
arabic language
arabic morphological tools
Published inCorpora, 6th ArchEng International Symposiums, EEECS’10 the 6th International Symposium on Electrical and Electronics Engineering and Computer Science
SeriesVolume: 18
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  • Staff Publications- Faculty of Engineering [908]
  • Staff Publications- Faculty of Information Technology [192]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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