input: Write a python function to detect the sentiment of a given sentence.
  assert sentiment_analysis('I love this movie, it is fantastic!') == 'Positive'
  assert sentiment_analysis('This is the worst book I have ever read.') == 'Negative'
  assert sentiment_analysis('The weather today is okay, nothing special.') == 'Neutral'
output: def sentiment_analysis(sentence):
      positive_words = ['love', 'fantastic', 'great', 'excellent', 'amazing', 'wonderful']
      negative_words = ['worst', 'terrible', 'awful', 'horrible', 'bad', 'dreadful']
      
      sentence = sentence.lower()
      
      positive_count = sum(1 for word in positive_words if word in sentence)
      negative_count = sum(1 for word in negative_words if word in sentence)
      
      if positive_count > negative_count:
          return 'Positive'
      elif negative_count > positive_count:
          return 'Negative'
      else:
          return 'Neutral'