An Enhanced Transformer-Based Approach with Meta-Ensemble Learning for Arabic Sentiment Analysis-Reference-Cited by-同舟云学术

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An Enhanced Transformer-Based Approach with Meta-Ensemble Learning for Arabic Sentiment Analysis

Published:2023-09-27 Issue: Volume: Page:
ISSN:
Container-title:2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)
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Author:

Ashraf Mohamed¹,Marzouk Mustafa¹,Kora Rania²,Mohammed Ammar¹

Affiliation:

1. MSA University,Faculty of Computer Science,Giza,Egypt

2. Cairo University,Dep. of Computer Science,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278292/10278293/10278312.pdf?arnumber=10278312

Reference71 articles.

1. Sentiment analysis: Bayesian Ensemble Learning

2. Bert: Pre-training of deep bidirectional transformers for language understanding;kenton;Proceedings of NAACL-HLT,0

3. Multi-Class Sentiment Analysis Comparison Using Support Vector Machine (SVM) and BAGGING Technique-An Ensemble Method

4. Weibo Text Sentiment Analysis Based on BERT and Deep Learning

5. A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification

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1. Ensemble Deep Learning Framework for Monitoring of Garment Sewing Employee Added Value;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

2. Data Augmentation for Sentiment Analysis Enhancement: A Comparative Study;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06

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