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Measure of Fuzzy Presence of Descriptors on Arabic Text Mining

Titre	Measure of Fuzzy Presence of Descriptors on Arabic Text Mining
Publication Type	Conference Paper
Year of Publication	2011
Authors	Hassani, IEl, Kriouile, A, Benghabrit, Y
Editor	ElMohajir, M, Begdouri, A, ElMohajir, BE, Zarghili, A
Conference Name	2012 COLLOQUIUM ON INFORMATION SCIENCE AND TECHNOLOGY (CIST'12)
Publisher	IEEE; IEEE Morocco Sect; IEEE Morocco Comp & Commun Joint Chapter; USMBA IEEE Student Branch; Faculty of Sciences Dhar Mahraz; Faculty of Technical Sciences of Fez; IEEE Comp Soc; IEEE Commun Soc
ISBN Number	978-1-4673-2725-1
Abstract	In the present work, we propose a new model of radical descriptors in Arabic Text Mining. This model will be based on the addition of lexical information contained in the morphological pattern of the Arabic word. We developed a statistical model by Hidden Markov Chain to disambiguate the morphological analysis of corpora, and we propose a new method to measure the relationship between descriptors based on a notion of ``fuzzy measure of the presence{''} and we adapt the traditional statistical measures to this context, and we outline the key measures of similarity and distances used in Text Mining.