code: def tokenize(self, paragraph):
      words = [self.ps.stem(word) for word in word_tokenize(paragraph)]
      filtered_words = [
          word
          for word in words
          if word not in stopwords.words("english")
      ]
      return filtered_words
  
imports: from nboost.plugins import Plugin
  from nboost.delegates import ResponseDelegate
  from nboost.database import DatabaseRow
  import numpy
  from multiprocessing import Pool, cpu_count
  import math
  from nltk.stem import PorterStemmer
  from nltk.tokenize import word_tokenize
  from nltk.corpus import stopwords
  import nltk
label_desc: Use image node_id 3 for calling the PrerankPlugin obj's underlying member method code with example usage: obj.tokenize(paragraph) and returns: filtered_words