A Code-Switched Arabic-English Sentiment Analysis Approach Based on Deep-Learning-Reference-Cited by-同舟云学术

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A Code-Switched Arabic-English Sentiment Analysis Approach Based on Deep-Learning

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

Almasah Tasneem S.¹,Ebrahim Gamal A.²,Abdelaal Marwa A.³

Affiliation:

1. The British University in Egypt,Faculty of Engineering,Electrical Engineering Department,Cairo,Egypt

2. Ain Shams University,Faculty of Engineering,Computer and Systems Engineering Department,Cairo,Egypt

3. Sadat Academy for Management Sciences,Faculty of Computers and Information,Computer Science Department,Cairo,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278292/10278293/10278363.pdf?arnumber=10278363

Reference24 articles.

1. Detecting Rumors on Social Media Based on a CNN Deep Learning Technique

2. AutoKeras: An AutoML Library for Deep Learning;jin;Journal of Machine Learning Research,2023

3. Fake news detection: A hybrid CNN-RNN based deep learning approach

4. Auto-Keras: An Efficient Neural Architecture Search System

5. Arabic Opinion Mining Using Combined CNN - LSTM Models

Cited by 1 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. A novel socio-pragmatic framework for sentiment analysis in Dravidian–English code-switched texts;Knowledge-Based Systems;2024-09

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