Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12358/25196
Title | Arabic morphological tools for text mining |
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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 | |
Type | Journal Article |
Date | 2010 |
Published in | Corpora, 6th ArchEng International Symposiums, EEECS’10 the 6th International Symposium on Electrical and Electronics Engineering and Computer Science |
Series | Volume: 18 |
Citation | |
Item link | Item Link |
License | ![]() |
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Files in this item | ||
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Ashour, Wesam M._3.pdf | 1.149Mb |