Improving the Accuracy and Effectiveness of Text Classification Based on the Integration of the Bert Model and a Recurrent Neural Network (RNN_Bert_Based)

This paper proposes a new robust model for text classification on the Stanford Sentiment Treebank v2 (SST-2) dataset in terms of model accuracy. We developed a Recurrent Neural Network Bert based (RNN_Bert_based) model designed to improve classification accuracy on the SST-2 dataset. This dataset co...

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Bibliographic Details
Published in:Applied Sciences
Main Authors: Chanthol Eang, Seungjae Lee
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/18/8388