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| import pandas as pd | |
| import numpy as np | |
| from sklearn.feature_extraction.text import TfidfVectorizer | |
| tfidf_vectorizer = TfidfVectorizer(max_features=10000, ngram_range=(1,2)) | |
| x_transformed = tfidf_vectorizer.fit_transform(core_df["cleaned_text"]) |
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