import nltk 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.tokenizer(sample_text) def process_content(): try: for i in tokenized[5:]: words = nltk.word_tokenize(i) tagged = nltk.pos_tag(words) namedEnt = nltk.ne_chunk(tagged, binary=True) except Exception as e: print(std(e)) process_content()