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

问题

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?

回答1:

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.

回答2:

Pyap works best not just for this particular example but also for other addresses contained in texts.

text = ...
addresses = pyap.parse(text, country='US')

回答3:

Checkout libpostal, a library dedicated to address extraction

来源：https://stackoverflow.com/questions/37745801/how-can-i-extract-address-from-raw-text-using-nltk-in-python