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