How to find Proper Nouns in a Text String in Python with NLP

If you are struggling with the problem of extracting proper nouns from strings, well, look no further. Forget all those lengthy, complex solutions out there, because you don’t need them. I’m going to show you how to do it in two steps with about a dozen lines of code. Ready? Here it goes.

Install Cloudmersive’s NLP client:

pip install git+https://github.com/Cloudmersive/Cloudmersive.APIClient.Python.NLP.git

Now take a look at this example code here for calling the function that we need, and adapt it to your project’s needs.

from __future__ import print_function
import time
import cloudmersive_nlp_api_client
from cloudmersive_nlp_api_client.rest import ApiException
from pprint import pprint
# Configure API key authorization: Apikey
configuration = cloudmersive_nlp_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['Apikey'] = 'Bearer'
# create an instance of the API class
api_instance = cloudmersive_nlp_api_client.WordsApi(cloudmersive_nlp_api_client.ApiClient(configuration))
input = 'input_example' # str | Input string
try:
# Get proper nouns in a string
api_response = api_instance.words_proper_nouns(input)
pprint(api_response)
except ApiException as e:
print("Exception when calling WordsApi->words_proper_nouns: %s\n" % e)

Now plop in whatever string you want to test and give it a go. And with that, our work here is done.