RoBERTa-GRU: A Hybrid Deep Learning Model for Enhanced Sentiment Analysis

This paper proposes a novel hybrid model for sentiment analysis. The model leverages the strengths of both the Transformer model, represented by the Robustly Optimized BERT Pretraining Approach (RoBERTa), and the Recurrent Neural Network, represented by Gated Recurrent Units (GRU). The RoBERTa model...

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Autors principals:	Kian Long Tan, Chin Poo Lee, Kian Ming Lim
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-03-01
Col·lecció:	Applied Sciences
Matèries:	sentiment analysis deep learning Transformer RoBERTa GRU
Accés en línia:	https://www.mdpi.com/2076-3417/13/6/3915
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