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TF-IGM revisited: Imbalance text classification with relative imbalance ratio

Murat Okkalıoğlu

2023Expert Systems with Applications11 citationsDOI

Topics & Concepts

WeightingClassifier (UML)Term (time)Computer scienceClassification schemePattern recognition (psychology)Class (philosophy)Artificial intelligenceMathematicsMachine learningMedicinePhysicsRadiologyQuantum mechanicsText and Document Classification TechnologiesMachine Learning in BioinformaticsImage Retrieval and Classification Techniques
TF-IGM revisited: Imbalance text classification with relative imbalance ratio | Litcius