title: NLTK sentiment vader: ordering results
body: <p>I've just run the Vader sentiment analysis on my dataset: </p>
  
  <pre><code>from nltk.sentiment.vader import SentimentIntensityAnalyzer
  from nltk import tokenize
  sid = SentimentIntensityAnalyzer()
  for sentence in filtered_lines2:
      print(sentence)
      ss = sid.polarity_scores(sentence)
      for k in sorted(ss):
          print('{0}: {1}, '.format(k, ss[k]), )
          print()
  </code></pre>
  
  <p>Here a sample of my results:</p>
  
  <pre><code>Are these guests on Samsung and Google event mostly Chinese Wow Theyre
  boring 
  
  Google Samsung 
  
  ('compound: 0.3612, ',)
  
  ()
  
  ('neg: 0.12, ',)
  
  ()
  
  
  ('neu: 0.681, ',)
  
  
  ()
  
  
  ('pos: 0.199, ',)
  
  
  ()
  
   Adobe lose 135bn to piracy Report 
  
  
  ('compound: -0.4019, ',)
  
  
  ()
  
  
  ('neg: 0.31, ',)
  
  
  ()
  
  
  ('neu: 0.69, ',)
  
  
  ()
  
  
  ('pos: 0.0, ',)
  
  
  ()
  
  Samsung Galaxy Nexus announced
  
  ('compound: 0.0, ',)
  
  ()
  
  ('neg: 0.0, ',)
  
  ()
  
  ('neu: 1.0, ',)
  
  ()
  
  ('pos: 0.0, ',)
  
  ()
  </code></pre>
  
  <p>I want to know how many times "compound" is equal, greater or less than zero.</p>
  
  <p>I know that probably it is very easy but I'm really new to Python and coding in general.
  I've tried in a lot of different ways to create what I need but I can't find any solution. </p>
  
  <p>(please edit my question if the "sample of results" is incorrect, because i don't know the right way to write it)</p>