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# Calculate similarity scores vectorizer = TfidfVectorizer() claim_vector = vectorizer.fit_transform([claim_text]) data_vectors = vectorizer.transform(data) similarity_scores = cosine_similarity(claim_vector, data_vectors) www.facthound.com code

Unlike many “free” websites, FactHound carried no third‑party advertising. The focus was purely on educational content, without distracting banners or sponsored links. I have enough information to write a comprehensive article