old_contents: from synt.utils.redis_manager import RedisManager
  from synt.utils.extractors import best_word_feats
  from synt.utils.text import sanitize_text
  
  MANAGER = RedisManager()
  DEFAULT_CLASSIFIER = MANAGER.load_classifier()
  
  def guess(text, classifier=DEFAULT_CLASSIFIER):
      """Takes a blob of text and returns the sentiment and confidence score."""
  
      assert classifier, "Needs a classifier."
      
      bag_of_words = best_word_feats(sanitize_text(text))
      if bag_of_words:
          guess = classifier.classify(bag_of_words)
          prob = classifier.prob_classify(bag_of_words)
          return (guess, [(prob.prob(sample),sample) for sample in prob.samples()])
  
new_contents: from synt.utils.redis_manager import RedisManager
  from synt.utils.extractors import best_word_feats
  from synt.utils.text import sanitize_text
  
  MANAGER = RedisManager()
  DEFAULT_CLASSIFIER = MANAGER.load_classifier()
  
  def guess(text, classifier=DEFAULT_CLASSIFIER):
      """Takes a blob of text and returns the sentiment and confidence score."""
  
      assert classifier, "Needs a classifier."
      
      bag_of_words = best_word_feats(sanitize_text(text))
      if bag_of_words:
          guess = classifier.classify(bag_of_words)
          prob = classifier.prob_classify(bag_of_words)
          
          #return a -1 .. 1 score
          score = prob.prob('positive') - prob.prob('negative')
          
          return score
  
subject: Return a -1 .. 1 sentiment score.