How to Separate all Words in a String in Python with NLP

In this article, we will be looking at an astoundingly simple approach to setting up word separation using Natural Language Processing. You won’t believe just how easy it is until you try it.

Begin with pip installation with this command for retrieving our NLP client:

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

Continue with a function call for words_get_words_string, seen below:

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 words from string
api_response = api_instance.words_get_words_string(input)
pprint(api_response)
except ApiException as e:
print("Exception when calling WordsApi->words_get_words_string: %s\n" % e)

Now put in your string and a moment later you will receive a list of the words it contains. It certainly does not get any easier than that, my friends.