code: def _compute_significant_words(self, document, weight):
      # keep only stems contained in bonus words
      words = map(self.stem_word, document.words)
      words = filter(self._is_bonus_word, words)
  
      # compute frequencies of bonus words in document
      word_counts = Counter(words)
      word_frequencies = word_counts.values()
  
      # no frequencies means no significant words
      if not word_frequencies:
          return ()
  
      # return only words greater than weight
      max_word_frequency = max(word_frequencies)
      return tuple(
          word
          for word, frequency in word_counts.items()
          if frequency / max_word_frequency > weight
      )
  
file_path: sumy/sumy/summarizers/edmundson_key.py
imports: from __future__ import absolute_import
  from __future__ import division, print_function, unicode_literals
  from collections import Counter
  from ._summarizer import AbstractSummarizer
label_desc: Use image node_id 3 for calling the EdmundsonKeyMethod obj's underlying member method code with example usage: obj._compute_significant_words(document, weight) and returns: tuple, 