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What is BERT Model for Fake News Detection about?

This project utilizes a fine-tuned BERT model for classifying news articles as fake or real, aiming to combat misinformation in digital media. It emphasizes the importance of accurate fake news detection for journalists, educators, and social media platforms, while outlining its objectives and scope, including the use of NLP techniques for binary classification. The methodology includes data collection, pre-processing, model architecture, and training strategies, showcasing the effectiveness of BERT in unde

Author

raswathi60

Language

EN