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Traceback (most recent call last):
File "src/tgnews.py", line 73, in <module>
out_json = run_algo(algo, html_features, include_languages, min_text_len)
File "src/tgnews.py", line 59, in run_algo
out_json = sort_threads(html_features, include_languages, min_text_len)
File "src/top.py", line 60, in sort_threads
min_text_len)
File "src/threads.py", line 77, in cluster_news
**vect_params)
File "src/rgutils/nlp.py", line 77, in vectorize_text
vectorizer.fit(data[0])
File "site-packages/sklearn/feature_extraction/text.py", line 1631, in fit
File "site-packages/sklearn/feature_extraction/text.py", line 1075, in fit_transform
ValueError: max_df corresponds to < documents than min_df