code: def __init__(self, features, pos=None):
      import nltk
  
      self._features = features
      self._pos = pos if pos else nltk.pos_tag
      self._lemma = nltk.stem.WordNetLemmatizer().lemmatize
      self._stop_words = set(nltk.corpus.stopwords.words("english"))
  
imports: from sematch.utility import FileIO
  from nltk.stem import WordNetLemmatizer
  from nltk.corpus import wordnet
  import nltk
  from collections import Counter
  import itertools
  import string
  import re
label_desc: Use image node_id 1 to create a new FeatureExtractor object  with example: obj = FeatureExtractor(features, pos)