This project focuses on the detection of fake news using Natural Language Processing (NLP) techniques and BERT (Bidirectional Encoder Representations from Transformers) model. The goal is to build a machine learning model that can accurately classify news articles as either fake or true based on their textual content.
☆13Feb 16, 2026Updated last month
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