This project combines Word2Vec for word embedding generation with Random Forest, an ensemble learning technique, to classify fake news articles. The use of Word2Vec helps in capturing semantic relationships between words, enhancing the overall accuracy of the classification. Random Forest then uses these embeddings for decision-making based on learned patterns.
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