Arabic morphological tools for text mining

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

http://hdl.handle.net/20.500.12358/25196

Untitled
Title	Arabic morphological tools for text mining
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.
Type	Journal Article
Date	2010
Subjects	arabic stemming / light stemming arabic language arabic morphological tools
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
Collections	Staff Publications- Faculty of Engineering [908] Staff Publications- Faculty of Information Technology [192]

Files in this item
	Ashour, Wesam M._3.pdf	1.149Mb