DocumentCode
2210628
Title
An efficient stemming for Arabic Text Classification
Author
Nehar, Attia ; Ziadi, Djelloul ; Cherroun, Hadda ; Guellouma, Younes
Author_Institution
Dept. d´´Inf., Z.A. Univ., Djelfa, Algeria
fYear
2012
fDate
18-20 March 2012
Firstpage
328
Lastpage
332
Abstract
Using N-gram technique without stemming is not appropriate in the context of Arabic Text Classification. For this, we introduce a new stemming technique, which we call “approximate-stemming”, based on the use of Arabic patterns. These are modeled using transducers and stemming is done without depending on any dictionary. This stemmer will be used in the context of Arabic Text Classification.
Keywords
natural language processing; pattern classification; text analysis; Arabic text classification; N-gram technique; approximate-stemming; transducer; Buildings; Context; Dictionaries; Educational institutions; Feature extraction; Kernel; Transducers; Arabic; Arabic Patterns; classification; kernels; transducers;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information Technology (IIT), 2012 International Conference on
Conference_Location
Abu Dhabi
Print_ISBN
978-1-4673-1100-7
Type
conf
DOI
10.1109/INNOVATIONS.2012.6207760
Filename
6207760
Link To Document