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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Principais autores:	Kian Long Tan, Chin Poo Lee, Kian Ming Lim
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2023-03-01
叢編:	Applied Sciences
主題:	sentiment analysis deep learning Transformer RoBERTa GRU
在線閱讀:	https://www.mdpi.com/2076-3417/13/6/3915
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