code: def analyze_token_and_symbol():
      count_token_dict = {}
      count_symbol_dict = {}
      filename = join(CORPUS_FOLDER, "VNTQcorpus-big.txt")
      for i, line in enumerate(open(filename)):
          tokens = tokenize(line.strip())
          for token in tokens:
              if token not in count_token_dict:
                  count_token_dict[token] = 0
              count_token_dict[token] += 1
          for symbol in line:
              if symbol not in count_symbol_dict:
                  count_symbol_dict[symbol] = 0
              count_symbol_dict[symbol] += 1
          # if i > 10000:
          #     break
          if i % 100000 == 0:
              now = datetime.now()
              current_time = now.strftime("%H:%M:%S")
              print(f"{current_time} {i}")
          # if i > 300000:
          #     break
      return count_token_dict, count_symbol_dict
  
file_path: underthesea/examples/text_normalize/normalize.py
imports: from datetime import datetime
  from os.path import join
  from underthesea import text_normalize
  from underthesea.file_utils import UNDERTHESEA_FOLDER
  from underthesea.pipeline.word_tokenize import tokenize
label_desc: Use image node_id 1 for calling a global function with example usage: analyze_token_and_symbol() and returns: count_token_dict,  count_symbol_dict