Fake News Classification using NLP

Employed NLP techniques to conduct Fake News Classification, achieving outstanding accuracy rates of 98.69% with Logistics Regression and 99.52% with the PassiveAggressive Classifier, significantly enhancing the detection and prevention of false information dissemination