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enumerate(nmf.components_): topic_descr = '' for fid in topic_vec.argsort()[-1:-n_top_words-1:-1]: topic_descr = topic_descr + feature_names[fid] + " " topics[i] = topic_descr return pd.DataFrame({'Top_Topic_Terms': topics}) # Label topics with top 5 terms topic_df = topic_table(5,