text: from pos_tagger import pos_tag
  from nltk import word_tokenize
  from nltk.corpus import state_union
  from nltk.tokenize import PunktSentenceTokenizer
  
  train_text = state_union.raw("2005-GWBush.txt")
  sample_text = state_union.raw("2006-GWBush.txt")
  
  custom_sent_tokenizer = PunktSentenceTokenizer(train_text)
  
  tokenized = custom_sent_tokenizer.tokenize(sample_text)
  
  def process_content():
      try:
          for i in tokenized:
              words = word_tokenize(i)
              tagged = pos_tag(words)
  
              print(tagged)
  
      except Exception as e:
          print(str(e))
  
  
  process_content()
  