input: Write a python function to analyze sentiment of a given text and classify it as 'Positive sentiment', 'Negative sentiment', or 'Neutral sentiment'.
  assert sentiment_analysis('The food was delicious but the service was slow.') == 'Negative sentiment'
  assert sentiment_analysis('I love this product! It works great and is very affordable.') == 'Positive sentiment'
  assert sentiment_analysis('The movie was okay, not too bad but not great either.') == 'Neutral sentiment'
output: def sentiment_analysis(text):
      from textblob import TextBlob
  
      analysis = TextBlob(text)
      polarity = analysis.sentiment.polarity
      
      if polarity > 0:
          return 'Positive sentiment'
      elif polarity < 0:
          return 'Negative sentiment'
      else:
          return 'Neutral sentiment'