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
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;
Conference_Titel :
Innovations in Information Technology (IIT), 2012 International Conference on
Conference_Location :
Abu Dhabi
Print_ISBN :
978-1-4673-1100-7
DOI :
10.1109/INNOVATIONS.2012.6207760
