Aspect-based sentiment classification with BERT and AI feedback

Data augmentation has been widely employed in low-resource aspect-based sentiment classification (ABSC) tasks to alleviate the issue of data sparsity and enhance the performance of the model. Unlike previous data augmentation approaches that rely on back translation, synonym replacement, or generati...

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Detalles Bibliográficos

Principais autores:	Lingling Xu, Weiming Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2025-03-01
Series:	Natural Language Processing Journal
Assuntos:	Aspect-based sentiment classification Data augmentation Masked aspect term prediction AI feedback
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2949719125000123
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