Performance evaluation of multilabel emotion classification using data augmentation techniques
One of the challenges of emotion classification is the existence of low annotated datasets, that makes the task more complex. Certain existing datasets often suffer from imbalanced data for the emotion classes. Several data augmentation approaches can help to overcome the challenges regarding imbala...
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| Main Authors: | , , |
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| Format: | Article |
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Faculty of Computer Science and Information Technology, University of Malaya
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/45835/ https://doi.org/10.22452/mjcs.vol37no2.4 |
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