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vec.get_feature_names(), nmf) # Manually label topics topic_df['Label'] = ['Room', 'Location', 'Reception', 'Hotel', 'Breakfast', 'Comfort', 'Customer service', 'Facilities', 'Views', 'Value for money'] # Getting weights to classify our dataset document_weights =