How to filter Adjectives from a String in Python

I’m guessing you didn’t come here looking for a bunch of preamble about why filtering adjectives from a string or POS tagging is important for NLP. Rather, you are in need of a fast means of getting this kind of result and you don’t want to spend days ironing out the solution. Operating on that assumption, I will be showing you an API that can perform exactly this requirement. So let’s get to the process.

Pip installation of the client goes like this:

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

Now let’s create our function call, while creating an API instance and giving it a key.

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

And that, ladies and gentlemen, is the FAST way to get your adjectives tagged.