new_contents: # authenticates with twitter, searches for microsoft, evaluates overall
  # sentiment for microsoft
  
  import numpy as np
  import twitter
  from textblob import TextBlob
  
  f = open('me.auth')
  keys = f.readlines()
  
  # Read in keys
  keys = [x.strip('\n') for x in keys]
  
  # Connect
  api = twitter.Api(consumer_key = keys[0],
                        consumer_secret = keys[1],
                        access_token_key = keys[2],
                        access_token_secret = keys[3])
  
  print 'logged in as ', api.VerifyCredentials().name
  
  search = api.GetSearch(term='microsoft', )
  
  # Make text blobs out of status content
  blobs = [ TextBlob(status.text) for status in search ]
  
  sentiments = [ blob.sentiment.polarity for blob in blobs ]
  
  filtered_sentiments = filter(lambda a: a!=0.0, sentiments)
  
  overall_sentiment = sum(filtered_sentiments)/len(filtered_sentiments)
  
  print 'Overall sentiment for microsoft: {0}'.format(overall_sentiment)
  
  
subject: Add example script for evaluating setiment