A class imbalance-aware review rating prediction using hybrid sampling and ensemble learning

Anbazhagan Mahadevan; Michael Arock

doi:10.1007/s11042-020-10024-2

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A class imbalance-aware review rating prediction using hybrid sampling and ensemble learning

Anbazhagan Mahadevan Michael Arock

Year: 2020 Journal: Multimedia Tools and Applications Vol: 80 (5)Pages: 6911-6938 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-020-10024-2

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Keywords:

Computer science Machine learning Artificial intelligence Ensemble learning AdaBoost Boosting (machine learning) Class (philosophy) Oversampling Binary classification Random forest Sampling (signal processing) Binary number Data mining Support vector machine Mathematics

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

A class imbalance-aware review rating prediction using hybrid sampling and ensemble learning

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