code: def _default_word2vec_model(self):
      from gensim.models import word2vec
  
      return word2vec.Word2Vec(
          vector_size=100,
          alpha=0.025,
          window=5,
          min_count=5,
          max_vocab_size=None,
          sample=0,
          seed=1,
          workers=1,
          min_alpha=0.0001,
          sg=1,
          hs=1,
          negative=0,
          cbow_mean=0,
          # iter=1,
          null_word=0,
          trim_rule=None,
          sorted_vocab=1,
      )
  
imports: import itertools
  import warnings
  from collections import Counter
  from scattertext.ParsedCorpus import ParsedCorpus
label_desc: Use image node_id 1 for calling the Word2VecDefault obj's underlying member method code with example usage: obj._default_word2vec_model() and returns: word2vec