Multilabel over - sampling and under - sampling with class alignment for imbalanced multilabel text classification
Multilabel over - sampling and under - sampling with class alignment for imbalanced multilabel text classification
The results, it can be concluded that designing a resampling method based on class imbalance together with class alignment will improve multilabel classification even better than just the random resampling method.