Sentiment Analysis in Arabic Social Media Using Deep Learning Models-Reference-Cited by-同舟云学术

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Sentiment Analysis in Arabic Social Media Using Deep Learning Models

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Yafoz Ayman,Mouhoub Malek

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658572/9658575/09659245.pdf?arnumber=9659245

Reference33 articles.

1. A survey of sentiment analysis in social media

2. Deep Learning Ensembles for Hate Speech Detection;mouhoub;IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI),2020

3. Hate and Offensive Speech Detection on Arabic Social Media;mouhoub;Online Social Netw Media,2020

4. Arabic Named Entity Recognition: A BERT-BGRU Approach;alrabiah;Computers Materials and Continua,2021

5. Towards Analysing the Sentiments in the Field of Automobile with Specific Focus on Arabic Language Text

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1. Measuring land lot shapes for property valuation;Data Technologies and Applications;2023-08-08

2. Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning;Wireless Personal Communications;2023-03-04

3. Artificial Intelligence Technology-Based Semantic Sentiment Analysis on Network Public Opinion Texts;International Journal of Information Technologies and Systems Approach;2023-02-16

4. Interpretable Image Recognition Models for Big Data With Prototypes and Uncertainty;International Journal of Information Technologies and Systems Approach;2023-02-10

5. Arabic Sentiment Analysis and Sarcasm Detection Using Probabilistic Projections-Based Variational Switch Transformer;IEEE Access;2023

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