How to Part-of-Speech Tag a String and Filter the Adverbs in Python

For everyone out there struggling with part-of-speech tagging, this article is going to save you a ton of time.

Our first step toward setting up this functionality is simple: install the Cloudmersive NLP client.

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

Within this client library is a function called pos_tagger_tag_adverbs, which is going to do our work for us. Below you will see how to structure your code. Use the request object to store the string you want tagged.

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.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 adverbs
api_response = api_instance.pos_tagger_tag_adverbs(request)
pprint(api_response)
except ApiException as e:
print("Exception when calling PosTaggerApi->pos_tagger_tag_adverbs: %s\n" % e)

Now if we just run our code, boom! Our tagged adverbs will be returned faster than you can say easily, peasily, lemon squeezily.