code: def normalize_answer(self, text):
      """Lower case text, remove punctuation and extra whitespace, etc."""
      import emoji
      import neologdn
  
      def white_space_fix(text):
          return " ".join(text.split())
  
      def remove_emoji(text):
          text = "".join(["" if emoji.is_emoji(c) else c for c in text])
          emoji_pattern = re.compile(
              "["
              "\U0001F600-\U0001F64F"  # emoticons
              "\U0001F300-\U0001F5FF"  # symbols & pictographs
              "\U0001F680-\U0001F6FF"  # transport & map symbols
              "\U0001F1E0-\U0001F1FF"  # flags (iOS)
              "\U00002702-\U000027B0"
              "]+",
              flags=re.UNICODE,
          )
          return emoji_pattern.sub(r"", text)
  
      text = remove_emoji(text)
      # see neologdn docs for details, but handles things like full/half width variation
      text = neologdn.normalize(text)
      text = white_space_fix(text)
      return text
  
imports: import re
label_desc: Use image node_id 2 for calling the MecabTokenizer obj's underlying member method code with example usage: obj.normalize_answer(text) and returns: text, str, emoji_pattern