Arabic Text Classification Using Convolutional Neural Network and Genetic Algorithms-Reference-Cited by-同舟云学术

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Arabic Text Classification Using Convolutional Neural Network and Genetic Algorithms

Published:2021 Issue: Volume:9 Page:91670-91685
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alsaleh Deem,Larabi-Marie-Sainte Souad

Funder

Prince Sultan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09462909.pdf?arnumber=9462909

Cited by 24 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. Utilizing Deep Learning Models (RNN, LSTM, CNN-LSTM, and Bi-LSTM) for Arabic Text Classification;Studies in Systems, Decision and Control;2024

2. Arabic Web Page Classification with AraBert and Mixture vectorization Methods: Analysis Using K-NN, LSTM and Naive Bayes;2023 Fourth International Conference on Intelligent Data Science Technologies and Applications (IDSTA);2023-10-24

3. Multi-Class Text Classification on Khmer News Using Ensemble Method in Machine Learning Algorithms;Acta Informatica Pragensia;2023-10-10

4. Text Classification in Arabic Natural Language Processing: A Review;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10

5. Deep Learning and Text Mining: Classifying and Extracting Key Information from Construction Accident Narratives;Applied Sciences;2023-09-22

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