CODEWITHSUNDEEP
pythonpython-3.xnltkstanford-nlpinformation-retrieval
Irfan
Irfan

Reputation: 99

Extracting specific information from data

How can i convert a data format like: 

James Smith was born on November 17, 1948

into something like 

("James Smith", DOB, "November 17, 1948")

without having to rely on positional index of strings

I have tried the following 

from nltk import word_tokenize, pos_tag

new = "James Smith was born on November 17, 1948"
sentences = word_tokenize(new)
sentences = pos_tag(sentences)
grammar = "Chunk: {<NNP*><NNP*>}"
cp = nltk.RegexpParser(grammar)
result = cp.parse(sentences)
print(result)

How to proceed further to get the output in desired fromat.

Upvotes: 2

Views: 112

Answers (2)

zawata
zawata

Reputation: 172

You could always use a regular expressions. The regex (\S+)\s(\S+)\s\bwas born on\b\s(\S+)\s(\S+),\s(\S+) will match and return data from specifically the string format above.

Here's it in action: https://regex101.com/r/W2ykKS/1

Regex in python:

import re

regex = r"(\S+)\s(\S+)\s\bwas born on\b\s(\S+)\s(\S+),\s(\S+)"
test_str = "James Smith was born on November 17, 1948"

matches = re.search(regex, test_str)

# group 0 in a regex is the input string

print(matches.group(1)) # James
print(matches.group(2)) # Smith
print(matches.group(3)) # November
print(matches.group(4)) # 17
print(matches.group(5)) # 1948

Upvotes: 1

Bhaskara Arani
Bhaskara Arani

Reputation: 1657

Split the string with 'was born on' after that trim the spaces and assign to name and dob

Upvotes: 1

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