class_docstr: SumBasic: a frequency-based summarization system that adjusts word frequencies as
  sentences are extracted.
  Source: http://www.cis.upenn.edu/~nenkova/papers/ipm.pdf
class_docstr_tok: ["SumBasic",":","a","frequency-based","summarization","system","that","adjusts","word","frequencies","as","sentences","are","extracted",".","Source",":","http",":","\/\/www.cis.upenn.edu\/~nenkova\/papers\/ipm.pdf"]
code: def stop_words(self, words):
      self._stop_words = frozenset(map(self.normalize_word, words))
  
file_path: sumy/sumy/summarizers/sum_basic.py
imports: from __future__ import absolute_import
  from __future__ import division, print_function, unicode_literals
  from ._summarizer import AbstractSummarizer
label_desc: Use image node_id 2 for calling the SumBasicSummarizer obj's underlying member method code with example usage: obj.stop_words(words) without return types