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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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Detaylı Bibliyografya
Asıl Yazarlar: Kian Long Tan, Chin Poo Lee, Kian Ming Lim
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2023-03-01
Seri Bilgileri:Applied Sciences
Konular:
Online Erişim:https://www.mdpi.com/2076-3417/13/6/3915
Etiketler: Etiketle
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