Extract list of Persons and Organizations using Stanford NER Tagger in NLTK

Question

I am trying to extract list of persons and organizations using Stanford Named Entity Recognizer (NER) in Python NLTK. When I run:

from nltk.tag.stanford impo         


        

Answer 1

Try using the "enumerate" method.

When you apply NER to the list of words, once tuples are created of (word,type), enumerate this list using the enumerate(list). This would assign an index to every tuple in the list.

So later, when you extract PERSON/ORGANISATION/LOCATION from the list they would have an index attached to it.

1   Hussein
2   Obama
3   II
6   James
7   Naismith
21   Naismith
19   Tony
20   Hinkle
0   Frank
1   Mahan
14   Naismith
0   Naismith
0   Mahan
0   Mahan
0   Naismith

Now on the basis of the consecutive index a single name can be filtered out.

Hussein Obama II, James Naismith, Tony Hank, Frank Mahan