text: import nltk
  nltk.downloader.download('vader_lexicon')
  from nltk.sentiment.vader import SentimentIntensityAnalyzer
  SIA = SentimentIntensityAnalyzer()
  def fetch_sentiment(sentence):
      sentiment = SIA.polarity_scores(sentence)
      #print(sentiment)
      if(sentiment["neg"]>0.5):
          return "neg"
      else:
          return "pass"
          
      
  
  #print(fetch_sentiment("I am very sad and not happy"))
  