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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Библиографические подробности

Главные авторы:	Kian Long Tan, Chin Poo Lee, Kian Ming Lim
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-03-01
Серии:	Applied Sciences
Предметы:	sentiment analysis deep learning Transformer RoBERTa GRU
Online-ссылка:	https://www.mdpi.com/2076-3417/13/6/3915
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