How can I extract address from raw text using NLTK in python?

Question

I have this text

'''Hi, Mr. Sam D. Richards lives here, 44 West 22nd Street, New York, NY 12345. Can you contact him now? If you need any help, call me on 12345678'''

. How the address part can be extracted from the above text using NLTK? I have tried Stanford NER Tagger, which gives me only New York as Location. How to solve this?

Most people would give regular expressions a try. Besides that, a short search on SO will give you plenty of inspiration. — patrick
here's a pretty solid python, nltk write up. i'll type it into an answer here with the summary after i implement it myself. — Rohmer

Alex Alex · Accepted Answer · 2016-06-13T08:21:37

Definitely regular expressions :)

Something like

import re

txt = ...
regexp = "[0-9]{1,3} .+, .+, [A-Z]{2} [0-9]{5}"
address = re.findall(regexp, txt)

# address = ['44 West 22nd Street, New York, NY 12345']

Explanation:

[0-9]{1,3}: 1 to 3 digits, the address number

(space): a space between the number and the street name

.+: street name, any character for any number of occurrences

,: a comma and a space before the city

.+: city, any character for any number of occurrences

,: a comma and a space before the state

[A-Z]{2}: exactly 2 uppercase chars from A to Z

[0-9]{5}: 5 digits

re.findall(expr, string) will return an array with all the occurrences found.

How can I extract address from raw text using NLTK in python?

3 Answers