Study of the Application of Text Augmentation with Paraphrasing to Overcome Imbalanced Data in Indonesian Text Classification

Data imbalance in text classification often leads to poor recognition of minority classes, as classifiers tend to favor majority categories. This study addresses the data imbalance issue in Indonesian text classification by proposing a novel text augmentation approach using fine-tuned pre-trained mo...

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Bibliographic Details
Main Authors: Mutiara Indryan Sari, Lya Hulliyyatus Suadaa
Format: Article
Language:English
Published: Department of Informatics, UIN Sunan Gunung Djati Bandung 2025-04-01
Series:JOIN: Jurnal Online Informatika
Subjects:
Online Access:https://join.if.uinsgd.ac.id/index.php/join/article/view/1472
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