input: def analyze_sentiment(text):
      """Analyze the sentiment of the given text. The text is categorized into positive, negative, and neutral sentiments.
      >>> analyze_sentiment("I love this product! It's amazing.")
      'positive'
      >>> analyze_sentiment("This is not a good day. Everything went wrong.")
      'negative'
      >>> analyze_sentiment("It is a usual day.")
      'neutral'
      """
output:     positive_words = ["love", "amazing", "good"]
      negative_words = ["not", "wrong", "bad"]
      
      words = text.lower().split()
      positive_count = sum(word in positive_words for word in words)
      negative_count = sum(word in negative_words for word in words)
      
      if positive_count > negative_count:
          return 'positive'
      elif negative_count > positive_count:
          return 'negative'
      else:
          return 'neutral'