code: def _default_feature_extractor(words):
      """Default feature extractor for the NaiveBayesAnalyzer."""
      return dict(((word, True) for word in words))
  
file_path: TextBlob/textblob/en/sentiments.py
imports: from __future__ import absolute_import
  from collections import namedtuple
  import nltk
  from textblob.en import sentiment
  from textblob.tokenizers import word_tokenize
  from textblob.decorators import requires_nltk_corpus
  from textblob.base import BaseSentimentAnalyzer, DISCRETE, CONTINUOUS
label_desc: Use image node_id 1 for calling a global function with example usage: _default_feature_extractor(words) and returns: dict