Improving Arabic text categorization using decision trees

2009 1st International Conference on Networked Digital Technologies, NDT 2009

Volumn , Issue , 2009, Pages 110-115

  Harrag, Fouzi ^a   El Qawasmeh, Eyas ^b   Pichappan, Pit ^c  

^a FERHAT ABBAS UNIVERSITY   (Algeria)

^b JORDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Jordan)

^c AL IMAM MOHAMMAD IBN SAUD ISLAMIC UNIVERSITY IMSIU   (Saudi Arabia)

Author keywords

Arabic corpus; Decision tree algorithm; Feature selection; Text categorization; Text mining

Indexed keywords

ARABIC TEXTS; CLASSIFIER PERFORMANCE; DECISION TREE CLASSIFIERS; DECISION-TREE ALGORITHM; DOCUMENT FREQUENCY; EMBEDDED INFORMATION; FEATURE SELECTION; GENERALIZATION ACCURACY; HYBRID APPROACH; TEXT CATEGORIZATION; TEXT MINING; THRESHOLDING; TRAINING SIZE;

ALGORITHMS; CLASSIFIERS; DECISION TREES; FEATURE EXTRACTION; LEARNING SYSTEMS; TEXT PROCESSING;

DATA MINING;

EID: 70450185745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NDT.2009.5272214     Document Type: Conference Paper

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