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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Bibliographic Details
Main Authors: Kian Long Tan, Chin Poo Lee, Kian Ming Lim
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/6/3915