input: from typing import List
  
  def sentiment_analysis(tweets: List[str]) -> List[str]:
      """
      Classifies each tweet in the input list as either 'Positive' or 'Negative' sentiment.
  
      >>> sentiment_analysis(['I love this!', 'This is terrible!', 'It\'s just fine.'])
      ['Positive', 'Negative', 'Negative']
      """
output:     sentiment_dict = {
          'love': 'Positive',
          'great': 'Positive',
          'awesome': 'Positive',
          'terrible': 'Negative',
          'hate': 'Negative',
          'awful': 'Negative'
      }
      
      result = []
      for tweet in tweets:
          sentiment = 'Negative'
          for word in tweet.split():
              word = word.strip('.,!?').lower()
              if word in sentiment_dict:
                  sentiment = sentiment_dict[word]
                  break
          result.append(sentiment)
      
      return result