code: def load_word_vectors_dict():
      try:
          with open(
              RerankTerms.model_dir / "word_vectors_dict.pickle", "rb"
          ) as f:
              ret = pickle.load(f)
      except OSError:
          ret = {}
      return ret
  
imports: import csv
  import pickle
  import numpy
  import tensorflow
  from os import PathLike
  from pathlib import Path
  from nlp_architect.models.absa.utils import _read_generic_lex_for_similarity
  from nlp_architect.models.absa import TRAIN_OUT, TRAIN_LEXICONS, GENERIC_OP_LEX, LEXICONS_OUT
  from scipy.spatial.distance import cosine
  from sklearn.model_selection import StratifiedKFold
  from tensorflow.keras.layers import Dense, Dropout
  from tensorflow.keras.models import Sequential, load_model
  from nlp_architect.utils.embedding import load_word_embeddings
label_desc: Use image node_id 23 for calling the RerankTerms obj's underlying member method code with example usage: obj.load_word_vectors_dict() and returns: ret