code: def get_tokenized_phrases(in_directory):
      phrases = get_phrases(in_directory)
      phrases = process_utils.get_ptb_tokenized_phrases(phrases)
      phrases = [
          SentimentDatum(
              x.sentiment, process_utils.clean_tokenized_tweet(x.text)
          )
          for x in phrases
      ]
      print(
          "Found {} phrases in the airline corpus".format(len(phrases))
      )
      return phrases
  
imports: import csv
  import os
  import sys
  from stanza.models.classifiers.data import SentimentDatum
  import stanza.utils.datasets.sentiment.process_utils
label_desc: Use image node_id 2 for calling a global function with example usage: get_tokenized_phrases(in_directory) and returns: phrases