input: Write a function to classify the sentiment of movie reviews using Natural Language Processing. If the sentiment is negative, the function should return "The sentiment of the sentence is negative!"; otherwise, it should return "The sentiment of the sentence is positive!".
  assert classify_sentiment("The movie was terrible. It felt like it would never end!")=="The sentiment of the sentence is negative!"
  assert classify_sentiment("The film was absolutely fantastic!")=="The sentiment of the sentence is positive!"
  assert classify_sentiment("It was a decent movie.")=="The sentiment of the sentence is positive!"
  assert classify_sentiment("I didn't like it at all.")=="The sentiment of the sentence is negative!"
output: def classify_sentiment(review):
      from textblob import TextBlob
      sentiment = TextBlob(review).sentiment.polarity
      if sentiment < 0:
          return "The sentiment of the sentence is negative!"
      else:
          return "The sentiment of the sentence is positive!"