Fake news detection using machine learning leverages algorithms to classify news as real or fake by analyzing text patterns, context, and source credibility. Techniques like TF‑IDF, word embeddings, logistic regression, SVM, deep learning models (LSTM, BERT) help identify misinformation, ensuring reliable information and reducing harmful impacts.
Pravishraz/Fake-News-Detection-Using-Machine-Learning: Fake news detection using machine learning leverages algorithms to classify news as real or fake by analyzing text patterns, context, and source credibility. Techniques like TF‑IDF, word embeddings, logistic regression, SVM, deep learning models (LSTM, BERT) help identify misinformation, ensuring reliable information and reducing harmful impacts.
