Pick soon countvectorizer vectorizer count step calculate document frequency
Solved Step by step with explanation of Generate TF-IDF Matrix
Question

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)


