All URIs are relative to https://api.cloudmersive.com
Method | HTTP request | Description |
---|---|---|
pos_tagger_tag_adjectives | POST /nlp-v2/pos/tag/adjectives | Part-of-speech tag a string, filter to adjectives |
pos_tagger_tag_adverbs | POST /nlp-v2/pos/tag/adverbs | Part-of-speech tag a string, filter to adverbs |
pos_tagger_tag_nouns | POST /nlp-v2/pos/tag/nouns | Part-of-speech tag a string, filter to nouns |
pos_tagger_tag_pronouns | POST /nlp-v2/pos/tag/pronouns | Part-of-speech tag a string, filter to pronouns |
pos_tagger_tag_sentence | POST /nlp-v2/pos/tag/sentence | Part-of-speech tag a string |
pos_tagger_tag_verbs | POST /nlp-v2/pos/tag/verbs | Part-of-speech tag a string, filter to verbs |
PosResponse pos_tagger_tag_adjectives(request)
Part-of-speech tag a string, filter to adjectives
Part-of-speech (POS) tag a string, find the adjectives, and return result as JSON
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)
Name | Type | Description | Notes |
---|---|---|---|
request | PosRequest | Input string |
- Content-Type: application/json, text/json, application/xml, text/xml, application/x-www-form-urlencoded
- Accept: application/json
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PosResponse pos_tagger_tag_adverbs(request)
Part-of-speech tag a string, filter to adverbs
Part-of-speech (POS) tag a string, find the adverbs, and return result as JSON
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)
Name | Type | Description | Notes |
---|---|---|---|
request | PosRequest | Input string |
- Content-Type: application/json, text/json, application/xml, text/xml, application/x-www-form-urlencoded
- Accept: application/json
[Back to top] [Back to API list] [Back to Model list] [Back to README]
PosResponse pos_tagger_tag_nouns(request)
Part-of-speech tag a string, filter to nouns
Part-of-speech (POS) tag a string, find the nouns, and return result as JSON
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 nouns
api_response = api_instance.pos_tagger_tag_nouns(request)
pprint(api_response)
except ApiException as e:
print("Exception when calling PosTaggerApi->pos_tagger_tag_nouns: %s\n" % e)
Name | Type | Description | Notes |
---|---|---|---|
request | PosRequest | Input string |
- Content-Type: application/json, text/json, application/xml, text/xml, application/x-www-form-urlencoded
- Accept: application/json
[Back to top] [Back to API list] [Back to Model list] [Back to README]
PosResponse pos_tagger_tag_pronouns(request)
Part-of-speech tag a string, filter to pronouns
Part-of-speech (POS) tag a string, find the pronouns, and return result as JSON
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 pronouns
api_response = api_instance.pos_tagger_tag_pronouns(request)
pprint(api_response)
except ApiException as e:
print("Exception when calling PosTaggerApi->pos_tagger_tag_pronouns: %s\n" % e)
Name | Type | Description | Notes |
---|---|---|---|
request | PosRequest | Input string |
- Content-Type: application/json, text/json, application/xml, text/xml, application/x-www-form-urlencoded
- Accept: application/json
[Back to top] [Back to API list] [Back to Model list] [Back to README]
PosResponse pos_tagger_tag_sentence(request)
Part-of-speech tag a string
Part-of-speech (POS) tag a string and return result as JSON
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
api_response = api_instance.pos_tagger_tag_sentence(request)
pprint(api_response)
except ApiException as e:
print("Exception when calling PosTaggerApi->pos_tagger_tag_sentence: %s\n" % e)
Name | Type | Description | Notes |
---|---|---|---|
request | PosRequest | Input string |
- Content-Type: application/json, text/json, application/xml, text/xml, application/x-www-form-urlencoded
- Accept: application/json
[Back to top] [Back to API list] [Back to Model list] [Back to README]
PosResponse pos_tagger_tag_verbs(request)
Part-of-speech tag a string, filter to verbs
Part-of-speech (POS) tag a string, find the verbs, and return result as JSON
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 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)
Name | Type | Description | Notes |
---|---|---|---|
request | PosRequest | Input string |
- Content-Type: application/json, text/json, application/xml, text/xml, application/x-www-form-urlencoded
- Accept: application/json
[Back to top] [Back to API list] [Back to Model list] [Back to README]