Spam Detection in Arabic Tweets Using Artificial Intelligence Techniques-Reference-Cited by-同舟云学术

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Spam Detection in Arabic Tweets Using Artificial Intelligence Techniques

Published:2024-06-28 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Conference on Circuit, Systems and Communication (ICCSC)
language:
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Author:

Errami Mouaad¹,Ouassil Mohamed Amine¹,Rachidi Rabia²,Jebbari Mohammed¹,Cherradi Bouchaib³,Raihani Abdelhadi¹

Affiliation:

1. Hassan II University of Casablanca,EEIS Laboratory, ENSET of Mohammedia,Mohammedia,Morocco

2. Chouaib Doukali University,LaROSERI Laboratory, Faculty of Science,El Jadida,Morocco

3. Hassan II University of Casablanca,STIE Team, CRMEF Casablanca-Settat, EEIS Laboratory, ENSET of Mohammedia,Mohammedia,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616390/10616394/10616531.pdf?arnumber=10616531

Reference44 articles.

1. Leveraging Machine Learning for Customer Intelligence: An Experimental Analysis Learning Classifiers

2. English Machine translation System Based on Neural Network Algorithm

3. Sentiment Analysis on Moroccan Dialect based on ML and Social Media Content Detection

4. A Fake News Detection System based on Combination of Word Embedded Techniques and Hybrid Deep Learning Model

5. GPU fuzzy c-means algorithm implementations: performance analysis on medical image segmentation

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