Natural Language Processing - NER Named entities are specific reference to something. As a part of recognizing text NLTK has allowed us to used the named entity recognition and recognize certain types of entities. Those types are as follows NE Type Examples ORGANIZATION Georgia-Pacific Corp. , WHO PERSON Eddy Bonte , President Obama LOCATION Murray River , Mount Everest DATE June , 2008-06-29 TIME two fifty a m , 1:30 p.m. MONEY 175 million Canadian Dollars , GBP 10.40 PERCENT twenty pct , 18.75 % FACILITY Washington Monument , Stonehenge GPE South East Asia , Midlothian Source: http://www.nltk.org/book/ch07.html Simple example on NER: import nltk from nltk.tokenize import word_tokenize, sent_tokenize para = " America is a country. John is a name. " sent = sent_tokenize(para) for s in sent: word = word_tokenize(s) tag = nltk . pos_tag(word) n...