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Fake News Classification Methodology With Enhanced BERT

News serves as a vital source of information for staying updated on various aspects of life worldwide. However, massive volume of information available on social media platforms makes it challenging to extract meaningful insights. Additionally, dispersion of false information has grown broader, ofte...

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Autori principali: Ammar Oad, Muhammad Hamza Farooq, Amna Zafar, Beenish Ayesha Akram, Ruogu Zhou, Feng Dong
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2024-01-01
Serie:IEEE Access
Soggetti:
Bidirectional encoder representations from transformers (BERT)
natural language processing
transformers
fake news classification
gradient boosting classifier
machine learning (ML)
Accesso online:https://ieeexplore.ieee.org/document/10742347/
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