Aftabbs / Fake-News-Detection-Using-NLP-and-BERTView external linksLinks
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.
☆13Jan 27, 2026Updated 2 weeks ago
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