code: def remove_stopwords(
      text, tokenizer, stopword_list, is_lower_case=False
  ):
      """lambda fn for removing stopwrods"""
      tokens = tokenizer.tokenize(text)
      tokens = [token.strip() for token in tokens]
      if is_lower_case:
          filtered_tokens = [
              token for token in tokens if token not in stopword_list
          ]
      else:
          filtered_tokens = [
              token
              for token in tokens
              if token.lower() not in stopword_list
          ]
      filtered_text = " ".join(filtered_tokens)
      return filtered_text
  
imports: import re
  import os
  import pickle
  import urllib
  import tarfile
  import numpy
  import pandas
  import nltk
  from nltk.stem import PorterStemmer
  from nltk.tokenize.toktok import ToktokTokenizer
  from gensim.models.keyedvectors import KeyedVectors
  from sklearn.model_selection import train_test_split
  from bs4 import BeautifulSoup
label_desc: Use image node_id 9 for calling a global function with example usage: remove_stopwords(text, tokenizer, stopword_list, is_lower_case) and returns: filtered_text