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Two novel feature selection methods for imbalanced text classification

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dc.contributor.authorHande TİRYAKİ
dc.contributor.authorAlper Kürşat Uysal
dc.contributor.orcid0000-0002-1533-6901
dc.contributor.orcid0000-0002-4057-934X
dc.date.accessioned2026-05-20T10:26:39Z
dc.date.issued2026-04-12
dc.identifier.doi10.1007/s11042-026-21273-y
dc.identifier.issn1380-7501
dc.identifier.issue4
dc.identifier.openalexW7153807616
dc.identifier.urihttps://hdl.handle.net/11421/39993
dc.identifier.urihttps://doi.org/10.1007/s11042-026-21273-y
dc.identifier.volume85
dc.language.isoen
dc.relation.ispartofMultimedia Tools and Applications
dc.rightsrestrictedAccess
dc.subjectFeature selection
dc.subjectSupport vector machine
dc.subjectDiscriminative model
dc.subjectClassifier (UML)
dc.subjectPattern recognition (psychology)
dc.subjectRandom forest
dc.subjectDecision tree
dc.subjectk-nearest neighbors algorithm
dc.subject.sdg10
dc.titleTwo novel feature selection methods for imbalanced text classification
dspace.entity.typePublication

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