code: def clean_tokenized_tweet(line):
      line = list(line)
      if (
          len(line) > 3
          and line[0] == "RT"
          and line[1][0] == "@"
          and line[2] == ":"
      ):
          line = line[3:]
      elif (
          len(line) > 4
          and line[0] == "RT"
          and line[1] == "@"
          and line[3] == ":"
      ):
          line = line[4:]
      elif line[0][0] == "@":
          line = line[1:]
      for i in range(len(line)):
          if line[i][0] == "@" or line[i][0] == "#":
              line[i] = line[i][1:]
      line = [
          x
          for x in line
          if x
          and not x.startswith("http:")
          and not x.startswith("https:")
      ]
      return line
  
file_path: stanza/stanza/utils/datasets/sentiment/process_utils.py
imports: import csv
  import glob
  import json
  import os
  import tempfile
  from collections import namedtuple
  from tqdm import tqdm
  import stanza
  from stanza.models.classifiers.data import SentimentDatum
label_desc: Use image node_id 4 for calling a global function with example usage: clean_tokenized_tweet(line) and returns: line