Toward Arabic social networks unmasking toxicity using machine learning and deep learning models

被引：0

作者：

Mezghani, Anis ^{[1
]}

Elleuch, Mohamed ^{[2
]}

Gasmi, Salwa ^{[3
]}

Kherallah, Monji ^{[4
]}

机构：

[1] Higher Institute of Industrial Management, University of Sfax, Tunisia

[2] National School of Computer Science, University of Manouba, Tunisia

[3] Faculty of Sciences, University of Gafsa, Tunisia

[4] Advanced Technologies for Environment and Smart Cities (ATES Unit), Faculty of Sciences, University of Sfax, Tunisia

来源：

International Journal of Intelligent Systems Technologies and Applications | 2024年 / 22卷 / 03期

关键词：

Compendex;

D O I：

10.1504/IJISTA.2024.140948

中图分类号：

学科分类号：

摘要：

Adversarial machine learning

引用

下载

页码：260 / 280

共 50 条

[31] Deep Learning, Ensemble and Supervised Machine Learning for Arabic Speech Emotion Recognition
Ismaiel, Wahiba
Alhalangy, Abdalilah
Mohamed, Adil. O. Y.
Musa, Abdalla Ibrahim Abdalla
ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2024, 14 (02) : 13757 - 13764
[32] A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks
Gupta, Chaitanya
Johri, Ishita
Srinivasan, Kathiravan
Hu, Yuh-Chung
Qaisar, Saeed Mian
Huang, Kuo-Yi
SENSORS, 2022, 22 (05)
[33] Comparison between Machine Learning and Deep Learning Approaches for the Detection of Toxic Comments on Social Networks
Bonetti, Andrea
Martinez-Sober, Marcelino
Torres, Julio C.
Vega, Jose M.
Pellerin, Sebastien
Vila-Frances, Joan
APPLIED SCIENCES-BASEL, 2023, 13 (10):
[34] Translator attribution for Arabic using machine learning
Mohamed, Emad
Sarwar, Raheem
Mostafa, Sayed
DIGITAL SCHOLARSHIP IN THE HUMANITIES, 2023, 38 (02) : 658 - 666
[35] Enhancing Detection of Arabic Social Spam Using Data Augmentation and Machine Learning
Alkadri, Abdullah M.
Elkorany, Abeer
Ahmed, Cherry
APPLIED SCIENCES-BASEL, 2022, 12 (22):
[36] Credit Risk Analysis Using Machine and Deep Learning Models
Addo, Peter Martey
Guegan, Dominique
Hassani, Bertrand
RISKS, 2018, 6 (02):
[37] Deep learning CNN–LSTM framework for Arabic sentiment analysis using textual information shared in social networks
Abubakr H. Ombabi
Wael Ouarda
Adel M. Alimi
Social Network Analysis and Mining, 2020, 10
[38] In silico prediction of ocular toxicity of compounds using explainable machine learning and deep learning approaches
Zhou, Yiqing
Wang, Ze
Huang, Zejun
Li, Weihua
Chen, Yuanting
Yu, Xinxin
Tang, Yun
Liu, Guixia
JOURNAL OF APPLIED TOXICOLOGY, 2024, 44 (06) : 892 - 907
[39] hERG-toxicity prediction using traditional machine learning and advanced deep learning techniques
Ylipaa, Erik
Chavan, Swapnil
Bankestad, Maria
Broberg, Johan
Glinghammar, Bjorn
Norinder, Ulf
Cotgreave, Ian
CURRENT RESEARCH IN TOXICOLOGY, 2023, 5
[40] Gender identification for Egyptian Arabic dialect in twitter using deep learning models
ElSayed, Shereen
Farouk, Mona
EGYPTIAN INFORMATICS JOURNAL, 2020, 21 (03) : 159 - 167

← 1 2 3 4 5 →