Extracting a person's age from unstructured text in Python

Question

I have a dataset of administrative filings that include short biographies. I am trying to extract people\'s ages by using python and some pattern matching. Some example of s

Answer 1

This will work for all the cases you provided: https://repl.it/repls/NotableAncientBackground

import re 

input =["Mr Bond, 67, is an engineer in the UK"
,"Amanda B. Bynes, 34, is an actress"
,"Peter Parker (45) will be our next administrator"
,"Mr. Dylan is 46 years old."
,"Steve Jones, Age:32,", "Equity awards granted to Mr. Love in 2010 represented 48% of his total compensation",
"George F. Rubin(14)(15) Age 68 Trustee since: 1997.",
"INDRA K. NOOYI, 56, has been PepsiCos Chief Executive Officer (CEO) since 2006",
"Mr. Lovallo, 47, was appointed Treasurer in 2011.",
"Mr. Charles Baker, 79, is a business advisor to biotechnology companies.",
"Mr. Botein, age 43, has been a member of our Board since our formation."]
for i in input:
  age = re.findall(r'Age[\:\s](\d{1,3})', i)
  age.extend(re.findall(r' (\d{1,3}),? ', i))
  if len(age) == 0:
    age = re.findall(r'\((\d{1,3})\)', i)
  print(i+ " --- AGE: "+ str(set(age)))

Returns

Mr Bond, 67, is an engineer in the UK --- AGE: {'67'}
Amanda B. Bynes, 34, is an actress --- AGE: {'34'}
Peter Parker (45) will be our next administrator --- AGE: {'45'}
Mr. Dylan is 46 years old. --- AGE: {'46'}
Steve Jones, Age:32, --- AGE: {'32'}
Equity awards granted to Mr. Love in 2010 represented 48% of his total compensation --- AGE: set()
George F. Rubin(14)(15) Age 68 Trustee since: 1997. --- AGE: {'68'}
INDRA K. NOOYI, 56, has been PepsiCos Chief Executive Officer (CEO) since 2006 --- AGE: {'56'}
Mr. Lovallo, 47, was appointed Treasurer in 2011. --- AGE: {'47'}
Mr. Charles Baker, 79, is a business advisor to biotechnology companies. --- AGE: {'79'}
Mr. Botein, age 43, has been a member of our Board since our formation. --- AGE: {'43'}