code: def __init__(self, top_k=100, skip_check=True):
      self.top_k = top_k
      self.skip_check = skip_check
      self.emb_size = 0
      self.vocab_size = 0
      self.words = []
  
file_path: nlpaug/nlpaug/model/word_embs/word_embeddings.py
imports: import nlpaug.util.math.normalization
label_desc: Use image node_id 1 to create a new WordEmbeddings object  with example: obj = WordEmbeddings(top_k, skip_check)