code: def term_lists(lang_en, texts_short_en):
      corpus = Corpus(lang_en, data=texts_short_en)
      term_lists_ = [
          (
              term.text.lower()
              for term in extract.terms(doc, ngs=1, ents=None)
          )
          for doc in corpus
      ]
      return term_lists_
  
imports: import numpy
  import pytest
  from sklearn.decomposition import NMF, LatentDirichletAllocation, TruncatedSVD
  from textacy import Corpus
  from textacy import extract
  from textacy.tm import TopicModel
  from textacy.representations import Vectorizer
label_desc: Use image node_id 1 for calling a global function with example usage: term_lists(lang_en, texts_short_en) and returns: term_lists_