code: def get_most_distinct_words(vocab, topic_word_distrib, doc_topic_distrib, doc_lengths, n=None):
      
      return _words_by_distinctiveness_score(vocab, topic_word_distrib, doc_topic_distrib, doc_lengths, n)
docs: Order the words from `vocab` by "distinctiveness score" (Chuang et al. 2012) from most to least distinctive.
      Optionally only return the `n` most distinctive words.
  
      J. Chuang, C. Manning, J. Heer 2012: "Termite: Visualization Techniques for Assessing Textual Topic Models"