AugFake-BERT: Handling Imbalance through Augmentation of Fake News Using BERT to Enhance the Performance of Fake News Classification

Fake news detection techniques are a topic of interest due to the vast abundance of fake news data accessible via social media. The present fake news detection system performs satisfactorily on well-balanced data. However, when the dataset is biased, these models perform poorly. Additionally, manual...

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Egile Nagusiak:	Ashfia Jannat Keya, Md. Anwar Hussen Wadud, M. F. Mridha, Mohammed Alatiyyah, Md. Abdul Hamid
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-08-01
Saila:	Applied Sciences
Gaiak:	text augmentation transfer learning Bidirectional Encoder Representation of Transformers fake news classification
Sarrera elektronikoa:	https://www.mdpi.com/2076-3417/12/17/8398
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!