Created
June 8, 2020 14:16
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| from sklearn.feature_extraction.text import TfidfVectorizer | |
| vectorizer = TfidfVectorizer(strip_accents='unicode', analyzer='word', ngram_range=(1,3), norm='l2', max_features = 10000) | |
| vectorizer.fit(train_text) | |
| vectorizer.fit(test_text) | |
| X_train = vectorizer.transform(train_text) | |
| x_test = vectorizer.transform(test_text) |
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