code: def _keyword_expander(word, language, lemmatized=False, threshold=0.70):
      
      try:
          from cltk.vector.word2vec import get_sims
      except ImportError as imp_err:
          print(imp_err)
          raise
      similar_vectors = get_sims(word, language, lemmatized=lemmatized, threshold=threshold)
  
      return similar_vectors
docs: Find similar terms in Word2Vec models. Accepts string and returns a
       list of terms of n similarity.
      :rtype : list