input: Write a python function to classify the sentiment of comments as positive, negative, or neutral.
  assert classify_sentiment(["I love this product", "This is bad", "It's okay", "I hate it"]) == ["positive", "negative", "neutral", "negative"]
  assert classify_sentiment(["What a great day", "Not good", "I love the way it works", "It's not bad", "I don't care"]) == ["positive", "neutral", "positive", "negative", "neutral"]
  assert classify_sentiment(["This is amazing", "I hate it here", "Just fine", "Absolutely great!"]) == ["neutral", "negative", "neutral", "positive"]
output: def classify_sentiment(comments):
      positive_keywords = {"love", "great", "amazing", "fantastic", "good", "wonderful", "awesome"}
      negative_keywords = {"hate", "bad", "terrible", "awful", "horrible", "poor"}
      
      sentiments = []
      for comment in comments:
          comment_lower = comment.lower()
          if any(word in comment_lower for word in positive_keywords):
              sentiments.append("positive")
          elif any(word in comment_lower for word in negative_keywords):
              sentiments.append("negative")
          else:
              sentiments.append("neutral")
      
      return sentiments