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pick soon countvectorizer vectorizer count step ca

Pick soon countvectorizer vectorizer count step calculate document frequency

Solved Step by step with explanation of Generate TF-IDF Matrix

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plz the solution be correct

Answer

Solved Step by step with explanation of Generate TF-IDF Matrix

# Step 1: Create the CountVectorizer matrix

documents = ["Call me soon", "CALL to win", "Pick me up soon"]

df = np.sum(count_matrix > 0, axis=0)

df = df.reshape(-1, 1)

U = count_matrix * idf.T

# Step 5: Compute scaled tfidf matrix (T)

# Print the results

print("Unscaled TF-IDF Matrix (U):")

print(tfidf_sklearn)

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