A Review on Arabic Sentiment Analysis: State-of-the-Art, Taxonomy and Open Research Challenges-Reference-Cited by-同舟云学术

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A Review on Arabic Sentiment Analysis: State-of-the-Art, Taxonomy and Open Research Challenges

Published:2019 Issue: Volume:7 Page:162008-162024
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abo Mohamed Elhag Mohamed^ORCID,Raj Ram Gopal^ORCID,Qazi Atika^ORCID

Funder

University of Malaya

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08890900.pdf?arnumber=8890900

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users’ reviews using machine learning techniques;Information Processing & Management;2024-05

2. Effects of dehumanization and disgust-eliciting language on attitudes toward immigration: a sentiment analysis of Twitter data;Psychiatry, Psychology and Law;2024-03-14

3. Arabic Sentiment Analysis for ChatGPT Using Machine Learning Classification Algorithms: A Hyperparameter Optimization Technique;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-03-09

4. Arabic Paraphrase Generation Using Transformer-Based Approaches;IEEE Access;2024

5. Changing or unchanging Chinese attitudes toward ride-hailing? A social media analytics perspective from 2018 to 2021;Transportation Research Part A: Policy and Practice;2023-12

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