Q1 journal2022Journal article90%+ classification accuracy

Arabic fake news detection based on deep contextualized embedding models

A. B. Nassif, A. Elnagar, O. Elgendy, Y. Afadar

Summary

Deep contextualized embedding models applied to Arabic fake news detection, contributing BERT-based models and Arabic datasets for the task and reaching over 90% classification accuracy. Published in a Q1 Springer journal.

Topics

Arabic NLPBERTMisinformationTransformers

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