Arabic Sentiment Analysis Using Naïve Bayes and CNN-LSTM-Reference-Cited by-同舟云学术

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Arabic Sentiment Analysis Using Naïve Bayes and CNN-LSTM

Published:2022-07-30 Issue:6 Volume:46 Page:
ISSN:1854-3871
Container-title:Informatica
language:
Short-container-title:IJCAI

Author:

Suleiman Dima,Odeh Aseel,Al-Sayyed Rizik

Publisher

Slovenian Association Informatika

Subject

Artificial Intelligence,Computer Science Applications,Theoretical Computer Science,Software

Cited by 6 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. Navigating Public Opinion: Enhancing Sentiment Analysis on Social Media with CNN and SVM;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

2. AlgBERT: Automatic Construction of Annotated Corpus for Sentiment Analysis in Algerian Dialect;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-12-19

3. A Code-Switched Arabic-English Sentiment Analysis Approach Based on Deep-Learning;2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2023-09-27

4. Ensemble Stacking Model for Sentiment Analysis of Emirati and Arabic Dialects;Journal of King Saud University - Computer and Information Sciences;2023-09

5. A novel approach for Arabic business email classification based on deep learning machines;PeerJ Computer Science;2023-01-25

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