input: from typing import List
  
  def sentiment_analysis(tweets: List[str]) -> List[str]:
      """Classify positive and negative sentiment in tweets.
      
      >>> sentiment_analysis(["I love this!", "I hate this."])
      ['Positive', 'Negative']
      >>> sentiment_analysis(["This is great", "Terrible experience"])
      ['Positive', 'Negative']
      """
output:     positive_words = {"love", "great", "good", "awesome", "happy"}
      negative_words = {"hate", "terrible", "bad", "awful", "sad"}
      
      result = []
      for tweet in tweets:
          words = set(word.lower() for word in tweet.split())
          if positive_words & words:
              result.append("Positive")
          elif negative_words & words:
              result.append("Negative")
          else:
              result.append("Neutral")
      
      return result