Created
February 19, 2022 12:25
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| stemmer = SnowballStemmer('english') | |
| movies_df['movie_plot'] = movies_df['movie_plot'].apply(lambda x:' '.join([stemmer.stem(y) for y in x.split()])) | |
| tfidf = TfidfVectorizer(stop_words='english') | |
| tfidf_matrix = tfidf.fit_transform(movies_df['movie_plot']) | |
| tfidf_df = pd.DataFrame( | |
| tfidf_matrix.todense(), | |
| columns=tfidf.get_feature_names() | |
| ) |
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