FusionAraSA: Fusion-based Model for Accurate Arabic Sentiment Analysis-Reference-Cited by-同舟云学术

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FusionAraSA: Fusion-based Model for Accurate Arabic Sentiment Analysis

Published:2024-08-06 Issue: Volume:515 Page:1-6
ISSN:
Container-title:2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA)
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Author:

Ba Alawi Abdulfattah E.¹,Nusari Ahmed N.²,Bozkurt Ferhat¹,Özbek İbrahim Yücel³

Affiliation:

1. Ataturk University,Faculty of Engineering,Computer Engineering Department,Erzurum,Turkey

2. Ataturk University,Faculty of Engineering,Electrical and Electronics Engineering Department,Erzurum,Turkey

3. Ataturk University,Faculty of Engineering,Electrical and Electronics Department,Erzurum,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638789/10638835/10638882.pdf?arnumber=10638882

Reference22 articles.

1. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin,2018

2. Arabert: Transformer-based model for Arabic language understanding;Antoun,2020

3. Bert fine-tuning for Arabic text summarization;Elmadani,2020

4. BERT Models for Arabic Text Classification: A Systematic Review

5. AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis;Abdul-Mageed

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