code: def word_process(words):
      words = [w.lower() for w in words]
      words = [w for w in words if w not in stopwords]
      words = [wn_lemma.lemmatize(w) for w in words]
      words = [wn_lemma.lemmatize(w, pos="v") for w in words]
      return words
  
imports: from sematch.utility import FileIO
  from nltk.stem import WordNetLemmatizer
  from nltk.corpus import wordnet
  import nltk
  from collections import Counter
  import itertools
  import string
  import re
label_desc: Use image node_id 3 for calling a global function with example usage: word_process(words) and returns: words