text: from nltk.tokenize import word_tokenize
  
  def tokenize(sentence):
      """ Convert a sentence into words. """
  
      return word_tokenize(sentence)
  
  
  def removeWhiteSpace(sentence):
      "Remove all whitespaces except for the word splitting whitespaces"
  
      tokens = sentence.split(" ")
      tokens_new = [t for t in tokens if len(t) > 0]
      processed = " ".join([t for t in tokens_new])
      return processed