Automatic Arabic Document Classification via kNN-中国期刊网

摘要 Manyalgorithmshavebeenimplementedfortheproblemofdocumentcategorization.ThemajorityworkinthisareawasachievedforEnglishtext,whileaveryfewapproacheshavebeenintroducedfortheArabictext.ThenatureofArabictextisdifferentfromthatoftheEnglishtextandthepreprocessingoftheArabictextismorechallenging.ThisisduetoArabiclanguageisahighlyinflectionalandderivationallanguagethatmakesdocumentminingahardandcomplextask.Inthispaper,wepresentanAutomaticArabicdocumentsclassificationsystembasedonkNNalgorithm.Also,wedevelopanapproachtosolvekeywordsextractionandreductionproblemsbyusingDocumentFrequency(DF)thresholdmethod.TheresultsindicatethattheabilityofthekNNtodealwithArabictextoutperformstheotherexistingsystems.Theproposedsystemreached0.95micro-recallscoreswith850Arabictextsin6differentcategories.

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Automatic Arabic Document Classification via kNN

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Automatic Arabic Document Classification via kNN

来源期刊

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