text: 
  
  
  import unittest
  from nlu import *
  
  class TestSentiment(unittest.TestCase):
      def test_sentiment_model(self):
          pipe = nlu.load('sentiment',verbose=True)
          df = pipe.predict(['I love pancaces. I hate Mondays', 'I love Fridays'], output_level='document',drop_irrelevant_cols=False, metadata=True, )
          for c in df.columns: print(df[c])
  
      def test_sentiment_imdb_model(self):
          pipe = nlu.load('sentiment.twitter',verbose=True)
          df = pipe.predict(['I love pancaces. I hate Mondays', 'I love Fridays'])#, output_level='document',drop_irrelevant_cols=False, metadata=True, )
          print(df.columns)
          for c in df.columns: print(df[c])
          df = pipe.predict(['I love pancaces. I hate Mondays', 'I love Fridays'], output_level='document')
          print(df.columns)
          for c in df.columns: print(df[c])
  
  
  
      def test_sentiment_twitter_model(self):
          pipe = nlu.load('sentiment.imdb',verbose=True)
          df = pipe.predict(['I love pancaces. I hate Mondays', 'I love Fridays'], output_level='sentence')
          print(df.columns)
          for c in df.columns: print(df[c])
          df = pipe.predict(['I love pancaces. I hate Mondays', 'I love Fridays'], output_level='document')
          print(df.columns)
          for c in df.columns: print(df[c])
  
  
      def test_sentiment_detector_model(self):
          pipe = nlu.load('sentiment.imdb',verbose=True)
          df = pipe.predict(['I love pancaces. I hate Mondays', 'I love Fridays'], output_level='sentence')
          for c in df.columns: print(df[c])
          df = pipe.predict(['I love pancaces. I hate Mondays', 'I love Fridays'], output_level='document')
          for c in df.columns: print(df[c])
  
      def test_sentiment_vivk_model(self):
          pipe = nlu.load('sentiment.vivekn',verbose=True)
          df = pipe.predict(['I love pancaces. I hate Mondays', 'I love Fridays'], output_level='sentence')
          print(df.columns)
          for c in df.columns: print(df[c])
          df = pipe.predict(['I love pancaces. I hate Mondays', 'I love Fridays'], output_level='document')
          for c in df.columns: print(df[c])
  
  
  if __name__ == '__main__':
      unittest.main()
  
  