Arabic Fake News Detection Based on Deep Contextualized Embedding Models

6 May 2022

Papers citing "Arabic Fake News Detection Based on Deep Contextualized Embedding Models"

7 / 7 papers shown

Title
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis Ali Bou Nassif A. Darya A. Elnagar 57 23 0 01 Dec 2021
AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset Mohamed Seghir Hadj Ameur H. Aliane 45 18 0 07 May 2021
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 101 103 0 11 Jan 2021
Fake or Real? A Study of Arabic Satirical Fake News Hadeel Saadany Emad Mohamed Constantin Orasan 37 24 0 01 Nov 2020
A review of sentiment analysis research in Arabic language Oumaima Oueslati Min Zhang M. Hajhmida Habib Ounelli 38 164 0 25 May 2020
AraBERT: Transformer-based Model for Arabic Language Understanding Wissam Antoun Fady Baly Hazem M. Hajj 113 970 0 28 Feb 2020
Unsupervised Cross-lingual Representation Learning at Scale Alexis Conneau Kartikay Khandelwal Naman Goyal Vishrav Chaudhary Guillaume Wenzek Francisco Guzmán Edouard Grave Myle Ott Luke Zettlemoyer Veselin Stoyanov 215 6,565 0 05 Nov 2019