class_docstr: This class contains TF-IDF model and LSA model of text-text similarity.
class_docstr_tok: ["This","class","contains","TF-IDF","model","and","LSA","model","of","text-text","similarity","."]
code: def lemmatization(self, tokens):
      tokens = [self._lemma.lemmatize(w) for w in tokens]
      tokens = [self._lemma.lemmatize(w, pos="v") for w in tokens]
      return tokens
  
imports: from numpy import array
  from gensim import matutils
label_desc: Use image node_id 3 for calling the TextRelatedness obj's underlying member method code with example usage: obj.lemmatization(tokens) and returns: tokens