Modified Seagull Optimization With Deep Learning for Affect Classification in Arabic Tweets-Reference-Cited by-同舟云学术

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Modified Seagull Optimization With Deep Learning for Affect Classification in Arabic Tweets

Published:2023 Issue: Volume:11 Page:98958-98968
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al-Onazi Badriyya B.¹,Alshamrani Hassan²,Aldaajeh Fatimah Okleh¹,Aziz Amira Sayed A.³,Rizwanullah Mohammed⁴

Affiliation:

1. Department of Language Preparation, Arabic Language Teaching Institute, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

2. Department of Teachers Training, Arabic Linguistics Institute, King Saud University, Riyadh ZIP, Saudi Arabia

3. Department of Digital Media, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo, Egypt

4. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Funder

Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10235322.pdf?arnumber=10235322

Reference24 articles.

1. The Evolution of Language Models Applied to Emotion Analysis of Arabic Tweets

2. Detecting Emotions in English and Arabic Tweets

3. An Ensemble Deep Learning Approach for Emotion Detection in Arabic Tweets

4. Emotional Analysis of Arabic Saudi Dialect Tweets Using a Supervised Learning Approach

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1. Chimp Optimization Algorithm with Deep Learning-Driven Fine-grained Emotion Recognition in Arabic Corpus;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-08-06

2. Twitter Scraping and Sentiment Analysis on Stock Price;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

3. MSCMGTB: A Novel Approach for Multimodal Social Media Content Moderation Using Hybrid Graph Theory and Bio-Inspired Optimization;IEEE Access;2024

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