Part-of-speech Tag a String, Filter to Verbs in Python

NLP gives our applications the ability to quickly perform useful tasks by analyzing Natural Language text inputs. One category of such tasks includes breaking down sentences for a specific POS (part-of-speech), which is a pain to do manually, regardless of your level of grammatical prowess. In this article we’ll walk through the ease of using Cloudmersive’s /nlp-v2/pos/tag/verbs iteration of the NLP API v2 to find verbs in a text string & return a JSON result.

To begin with, you’ll need to run the below command found on the Cloudmersive API console page to install the Python SDK:

pip install cloudmersive-nlp-api-client
from __future__ import print_function
import time
import cloudmersive_nlp_api_client
from cloudmersive_nlp_api_client.rest import ApiException
from pprint import pprint

After this, the next step is to copy the below API Key Authorization code snippet & ensure your API key is properly entered:

# Configure API key authorization: Apikey
configuration = cloudmersive_nlp_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'

And now for the final step, you can copy in the rest of the function to call the API:

# create an instance of the API class
api_instance = cloudmersive_nlp_api_client.PosTaggerApi(cloudmersive_nlp_api_client.ApiClient(configuration))
request = cloudmersive_nlp_api_client.PosRequest() # PosRequest | Input string
try:
    # Part-of-speech tag a string, filter to verbs
    api_response = api_instance.pos_tagger_tag_verbs(request)
    pprint(api_response)
except ApiException as e:
    print("Exception when calling PosTaggerApi->pos_tagger_tag_verbs: %s\n" % e)