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Author Yahia, M.E.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Text categorization ♦ Rough sets ♦ Support vector machines ♦ Feature extraction ♦ Cognition ♦ Classification algorithms ♦ Computer science
Abstract The process of text categorization has been used in many applications and areas. Classifying of Arabic texts is different than classifying of English texts because Arabic is highly inflectional and derivational language which makes monophonical analysis a very complex task. This short paper has made a review of some researches in Arabic text categorization, and recent works for adopting rough sets theory in the field of text mining and text categorization, with investigation of use of its classification in Arabic text categorization.
Description Author affiliation: College of Computer Science and Information Technology, King Faisal University, Alhasa 31982, Saudi Arabia (Yahia, M.E.)
ISBN 9781457704758
ISSN 21615330
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-12-27
Publisher Place Egypt
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781457704765
Size (in Bytes) 168.10 kB
Page Count 2
Starting Page 293
Ending Page 294

Source: IEEE Xplore Digital Library