Cloudmersive NLP (Preview)

The powerful Natural Language Processing APIs (v2) let you perform part of speech tagging, entity identification, sentence parsing, and much more to help you understand the meaning of unstructured text.

This connector is available in the following products and regions:

Service	Class	Regions
Logic Apps	Standard	All Logic Apps regions except the following:      -   Azure Government regions      -   Azure China regions      -   US Department of Defense (DoD)
Power Automate	Premium	All Power Automate regions except the following:      -   US Government (GCC)      -   US Government (GCC High)      -   China Cloud operated by 21Vianet      -   US Department of Defense (DoD)
Power Apps	Premium	All Power Apps regions except the following:      -   US Government (GCC)      -   US Government (GCC High)      -   China Cloud operated by 21Vianet      -   US Department of Defense (DoD)

Contact
Name	Cloudmersive Support
URL	https://account.cloudmersive.com/contact-support
Email	support@cloudmersive.com

Connector Metadata
Publisher	Cloudmersive, LLC
Website	https://www.cloudmersive.com/nlp-api
Privacy policy	https://www.cloudmersive.com/privacy-policy
Categories	AI;Data

This connector is critical for processing text and performing advanced text analytics and natural language processing. Cloudmersive NLP covers a wide array of common text analytics functions, including sentiment analysis, subjectivity detection, entity extraction, automatic rephrasing, and much more. Stateless high-security processing ensures fast performance and strong security. You can learn more at the NLP API page.

To use the NLP connector, you need a Cloudmersive account. You can sign up with a Microsoft Account or create a Cloudmersive account. Follow the steps below to get your API Key.

Get the API Key and Secret

• Register for a Cloudmersive Account
• Sign In with your Cloudmersive Account and click on API Keys

Here you can create and see your API key(s) listed on the API Keys page. Simply copy and paste this API Key into the Cloudmersive NLP Connector.

Now you are ready to start using the Cloudmersive NLP Connector.

Creating a connection

The connector supports the following authentication types:

Default	Parameters for creating connection.	All regions	Not shareable

Default

Applicable: All regions

Parameters for creating connection.

This is not shareable connection. If the power app is shared with another user, another user will be prompted to create new connection explicitly.

Name	Type	Description	Required
API Key (from https://cloudmersive.com)	securestring	The Api Key for this API	True

Throttling Limits

Name	Calls	Renewal Period
API calls per connection	100	60 seconds

Actions

Check if sentence is spelled correctly	Checks whether the sentence is spelled correctly and returns the result as JSON
Detect language of text	Automatically determine which language a text string is written in. Supports Danish (DAN), German (DEU), English (ENG), French (FRA), Italian (ITA), Japanese (JPN), Korean (KOR), Dutch (NLD), Norwegian (NOR), Portuguese (POR), Russian (RUS), Spanish (SPA), Swedish (SWE), Chinese (ZHO).
Extract entities from string	Extract the named entitites from an input string.
Extract sentences from string	Segment an input string into separate sentences, output result as a string.
Find spelling corrections	Find spelling correction suggestions and return result as JSON
Get words in input string	Get the component words in an input string
Parse string to syntax tree	Parses the input string into a Penn Treebank syntax tree
Part-of-speech tag a string	Part-of-speech (POS) tag a string and return result as JSON
Part-of-speech tag a string, filter to adjectives	Part-of-speech (POS) tag a string, find the adjectives, and return result as JSON
Part-of-speech tag a string, filter to adverbs	Part-of-speech (POS) tag a string, find the adverbs, and return result as JSON
Part-of-speech tag a string, filter to nouns	Part-of-speech (POS) tag a string, find the nouns, and return result as JSON
Part-of-speech tag a string, filter to pronouns	Part-of-speech (POS) tag a string, find the pronouns, and return result as JSON
Part-of-speech tag a string, filter to verbs	Part-of-speech (POS) tag a string, find the verbs, and return result as JSON
Perform Profanity and Obscene Language Analysis and Detection on Text	Analyze input text using advanced Profanity and Obscene Language Analysis to determine if the input contains profane language. Supports English language input. Consumes 1-2 API calls per sentence.
Perform Sentiment Analysis and Classification on Text	Analyze input text using advanced Sentiment Analysis to determine if the input is positive, negative, or neutral. Supports English language input. Consumes 1-2 API calls per sentence.
Perform Subjectivity and Objectivity Analysis on Text	Analyze input text using advanced Subjectivity and Objectivity Language Analysis to determine if the input text is objective or subjective, and how much. Supports English language input. Consumes 1-2 API calls per sentence.
Rephrase, paraphrase English text sentence-by-sentence using Deep Learning AI	Automatically rephrases or paraphrases input text in English sentence by sentence using advanced Deep Learning and Neural NLP. Creates multiple reprhasing candidates per input sentence, from 1 to 10 possible rephrasings of the original sentence. Seeks to preserve original semantic meaning in rephrased output candidates. Consumes 1-2 API calls per output rephrasing option generated, per sentence.
Translate English to German text with Deep Learning AI	Automatically translates input text in English to output text in German using advanced Deep Learning and Neural NLP. Consumes 1-2 API calls per input sentence.
Translate English to Russian text with Deep Learning AI	Automatically translates input text in English to output text in Russian using advanced Deep Learning and Neural NLP. Consumes 1-2 API calls per input sentence.
Translate German to English text with Deep Learning AI	Automatically translates input text in German to output text in English using advanced Deep Learning and Neural NLP. Consumes 1-2 API calls per input sentence.
Translate Russian to English text with Deep Learning AI	Automatically translates input text in Russian to output text in English using advanced Deep Learning and Neural NLP. Consumes 1-2 API calls per input sentence.

Check if sentence is spelled correctly

Operation ID:

Spellcheck_CheckSentence

Checks whether the sentence is spelled correctly and returns the result as JSON

Parameters

Name	Key	Required	Type	Description
Sentence	Sentence		string	Input sentence for spell check

Returns

Result of spell checking a sentence

Body

CheckSentenceResponse

Detect language of text

Operation ID:

LanguageDetection_getLanguage

Automatically determine which language a text string is written in. Supports Danish (DAN), German (DEU), English (ENG), French (FRA), Italian (ITA), Japanese (JPN), Korean (KOR), Dutch (NLD), Norwegian (NOR), Portuguese (POR), Russian (RUS), Spanish (SPA), Swedish (SWE), Chinese (ZHO).

Parameters

Name	Key	Required	Type	Description
textToDetect	textToDetect		string	Text to detect the language of

Returns

Output of a language detection operation

Body

LanguageDetectionResponse

Extract entities from string

Operation ID:

ExtractEntities_Post

Extract the named entitites from an input string.

Parameters

Name	Key	Required	Type	Description
InputString	InputString		string	Input string to extract entities from

Returns

Result of performing an extract entities operation

Body

ExtractEntitiesResponse

Extract sentences from string

Operation ID:

Segmentation_GetSentences

Segment an input string into separate sentences, output result as a string.

Parameters

Name	Key	Required	Type	Description
InputString	InputString		string

Returns

Body

SentenceSegmentationResponse

Find spelling corrections

Operation ID:

Spellcheck_CorrectJson

Find spelling correction suggestions and return result as JSON

Parameters

Name	Key	Required	Type	Description
Word	Word		string

Returns

Spelling correction check result

Body

CheckWordResponse

Get words in input string

Operation ID:

Segmentation_GetWords

Get the component words in an input string

Parameters

Name	Key	Required	Type	Description
InputText	InputText		string

Returns

Words in input string

Body

GetWordsResponse

Parse string to syntax tree

Operation ID:

Parse_ParseString

Parses the input string into a Penn Treebank syntax tree

Parameters

Name	Key	Required	Type	Description
InputString	InputString		string	Input string to linguistically parse

Returns

Result of linguistic parse operation

Body

ParseResponse

Part-of-speech tag a string

Operation ID:

PosTagger_TagSentence

Part-of-speech (POS) tag a string and return result as JSON

Parameters

Name	Key	Required	Type	Description
InputText	InputText		string	Input text string

Returns

Part of speech tag result

Body

PosResponse

Part-of-speech tag a string, filter to adjectives

Operation ID:

PosTagger_TagAdjectives

Part-of-speech (POS) tag a string, find the adjectives, and return result as JSON

Parameters

Name	Key	Required	Type	Description
InputText	InputText		string	Input text string

Returns

Part of speech tag result

Body

PosResponse

Part-of-speech tag a string, filter to adverbs

Operation ID:

PosTagger_TagAdverbs

Part-of-speech (POS) tag a string, find the adverbs, and return result as JSON

Parameters

Name	Key	Required	Type	Description
InputText	InputText		string	Input text string

Returns

Part of speech tag result

Body

PosResponse

Part-of-speech tag a string, filter to nouns

Operation ID:

PosTagger_TagNouns

Part-of-speech (POS) tag a string, find the nouns, and return result as JSON

Parameters

Name	Key	Required	Type	Description
InputText	InputText		string	Input text string

Returns

Part of speech tag result

Body

PosResponse

Part-of-speech tag a string, filter to pronouns

Operation ID:

PosTagger_TagPronouns

Part-of-speech (POS) tag a string, find the pronouns, and return result as JSON

Parameters

Name	Key	Required	Type	Description
InputText	InputText		string	Input text string

Returns

Part of speech tag result

Body

PosResponse

Part-of-speech tag a string, filter to verbs

Operation ID:

PosTagger_TagVerbs

Part-of-speech (POS) tag a string, find the verbs, and return result as JSON

Parameters

Name	Key	Required	Type	Description
InputText	InputText		string	Input text string

Returns

Part of speech tag result

Body

PosResponse

Perform Profanity and Obscene Language Analysis and Detection on Text

Operation ID:

Analytics_Profanity

Analyze input text using advanced Profanity and Obscene Language Analysis to determine if the input contains profane language. Supports English language input. Consumes 1-2 API calls per sentence.

Parameters

Name	Key	Required	Type	Description
TextToAnalyze	TextToAnalyze		string	Text to analyze

Returns

Output of a profanity analysis operation

Body

ProfanityAnalysisResponse

Perform Sentiment Analysis and Classification on Text

Operation ID:

Analytics_Sentiment

Analyze input text using advanced Sentiment Analysis to determine if the input is positive, negative, or neutral. Supports English language input. Consumes 1-2 API calls per sentence.

Parameters

Name	Key	Required	Type	Description
TextToAnalyze	TextToAnalyze		string	Text to analyze

Returns

Output of a sentiment analysis operation

Body

SentimentAnalysisResponse

Perform Subjectivity and Objectivity Analysis on Text

Operation ID:

Analytics_Subjectivity

Analyze input text using advanced Subjectivity and Objectivity Language Analysis to determine if the input text is objective or subjective, and how much. Supports English language input. Consumes 1-2 API calls per sentence.

Parameters

Name	Key	Required	Type	Description
TextToAnalyze	TextToAnalyze		string	Text to analyze

Returns

Output of a subjectivity analysis operation

Body

SubjectivityAnalysisResponse

Rephrase, paraphrase English text sentence-by-sentence using Deep Learning AI

Operation ID:

Rephrase_EnglishRephrase_SentenceBySentence

Automatically rephrases or paraphrases input text in English sentence by sentence using advanced Deep Learning and Neural NLP. Creates multiple reprhasing candidates per input sentence, from 1 to 10 possible rephrasings of the original sentence. Seeks to preserve original semantic meaning in rephrased output candidates. Consumes 1-2 API calls per output rephrasing option generated, per sentence.

Parameters

Name	Key	Required	Type	Description
TextToTranslate	TextToTranslate		string	Text to rephrase
TargetRephrasingCount	TargetRephrasingCount		integer	The number of rephrasing output options you would like per sentence; possible values are 1 to 10. Default is 2.

Returns

Output of a text rephrasing operation

Body

RephraseResponse

Translate English to German text with Deep Learning AI

Operation ID:

LanguageTranslation_TranslateEngToDeu

Automatically translates input text in English to output text in German using advanced Deep Learning and Neural NLP. Consumes 1-2 API calls per input sentence.

Parameters

Name	Key	Required	Type	Description
TextToTranslate	TextToTranslate		string	Text to translate

Returns

Output of a language translation operation

Body

LanguageTranslationResponse

Translate English to Russian text with Deep Learning AI

Operation ID:

LanguageTranslation_TranslateEngToRus

Automatically translates input text in English to output text in Russian using advanced Deep Learning and Neural NLP. Consumes 1-2 API calls per input sentence.

Parameters

Name	Key	Required	Type	Description
TextToTranslate	TextToTranslate		string	Text to translate

Returns

Output of a language translation operation

Body

LanguageTranslationResponse

Translate German to English text with Deep Learning AI

Operation ID:

LanguageTranslation_TranslateDeuToEng

Automatically translates input text in German to output text in English using advanced Deep Learning and Neural NLP. Consumes 1-2 API calls per input sentence.

Parameters

Name	Key	Required	Type	Description
TextToTranslate	TextToTranslate		string	Text to translate

Returns

Output of a language translation operation

Body

LanguageTranslationResponse

Translate Russian to English text with Deep Learning AI

Operation ID:

LanguageTranslation_TranslateRusToEng

Automatically translates input text in Russian to output text in English using advanced Deep Learning and Neural NLP. Consumes 1-2 API calls per input sentence.

Parameters

Name	Key	Required	Type	Description
TextToTranslate	TextToTranslate		string	Text to translate

Returns

Output of a language translation operation

Body

LanguageTranslationResponse

Definitions

SentimentAnalysisResponse

Output of a sentiment analysis operation

Name	Path	Type	Description
Successful	Successful	boolean	True if the sentiment analysis operation was successful, false otherwise
SentimentClassificationResult	SentimentClassificationResult	string	Classification of input text into a sentiment classification; possible values are "Positive", "Negative" or "Neutral"
SentimentScoreResult	SentimentScoreResult	double	Sentiment classification score between -1.0 and +1.0 where scores less than 0 are negative sentiment, scores greater than 0 are positive sentiment and scores close to 0 are neutral. The greater the value deviates from 0.0 the stronger the sentiment, with +1.0 and -1.0 being maximum positive and negative sentiment, respectively.
SentenceCount	SentenceCount	integer	Number of sentences in input text

ProfanityAnalysisResponse

Output of a profanity analysis operation

Name	Path	Type	Description
Successful	Successful	boolean	True if the profanity detection operation was successful, false otherwise
ProfanityScoreResult	ProfanityScoreResult	double	Profanity classification score between 0.0 and 1.0 where scores closer to zero have a low probability of being profane or contain obscene language, while scores close to 1.0 have a high probability of being profane or containing obscene language. Values above 0.8 have a very high probability of being profane.
SentenceCount	SentenceCount	integer	Number of sentences in input text

SubjectivityAnalysisResponse

Output of a subjectivity analysis operation

Name	Path	Type	Description
Successful	Successful	boolean	True if the subjectivity analysis operation was successful, false otherwise
SubjectivityScoreResult	SubjectivityScoreResult	double	Subjectivity vs. objectivity classification score between 0.0 and 1.0 where scores closer to zero have a high probability of objectivity, while scores close to 1.0 have a high probability of subjectivity.
SentenceCount	SentenceCount	integer	Number of sentences in input text

ExtractEntitiesResponse

Result of performing an extract entities operation

Name	Path	Type	Description
Successful	Successful	boolean	True if the operation was successful, false otherwise
Entities	Entities	array of Entity

Entity

Name	Path	Type	Description
EntityType	EntityType	string
EntityText	EntityText	string

LanguageDetectionResponse

Output of a language detection operation

Name	Path	Type	Description
Successful	Successful	boolean	True if the language detection operation was successful, false otherwise
DetectedLanguage_ThreeLetterCode	DetectedLanguage_ThreeLetterCode	string	ISO 639 three letter language code
DetectedLanguage_FullName	DetectedLanguage_FullName	string	The full name (in English) of the detected language

LanguageTranslationResponse

Output of a language translation operation

Name	Path	Type	Description
Successful	Successful	boolean	True if the language detection operation was successful, false otherwise
TranslatedTextResult	TranslatedTextResult	string	Translated text in target language
SentenceCount	SentenceCount	integer	Number of sentences in input text

ParseResponse

Result of linguistic parse operation

Name	Path	Type	Description
ParseTree	ParseTree	string	Parse tree in Penn Treebank syntax tree format

PosResponse

Part of speech tag result

Name	Path	Type	Description
TaggedSentences	TaggedSentences	array of PosSentence	Sentences in the string

PosSentence

Sentence in a POS tag result

Name	Path	Type	Description
Words	Words	array of PosTaggedWord	Words in the sentence

PosTaggedWord

Word tagged in a POS tag

Name	Path	Type	Description
Word	Word	object	Word that was tagged
Tag	Tag	object	Penn Treebank tag applied to the word

RephraseResponse

Output of a text rephrasing operation

Name	Path	Type	Description
Successful	Successful	boolean	True if the language detection operation was successful, false otherwise
RephrasedResults	RephrasedResults	array of RephrasedSentence	Results of the rephrasing, paraphrasing operation, in the order of the input sentences
SentenceCount	SentenceCount	integer	Number of sentences in input text

RephrasedSentence

One input sentence and associated rephrasing results

Name	Path	Type	Description
SentenceIndex	SentenceIndex	integer	Index of the sentence, 1-based, ordered
OriginalSentenceText	OriginalSentenceText	string	Original input sentence text
Rephrasings	Rephrasings	array of RephrasedSentenceOption	Rephrasing text options, candidates of the original input sentence, in order - with best candidate first

RephrasedSentenceOption

One rephrasing of an original input sentence

Name	Path	Type	Description
RephrasedOptionIndex	RephrasedOptionIndex	integer	Ordered index of the rephrasing option, 1-based, with 1 being the best option
RephrasedSentenceText	RephrasedSentenceText	string	One sentence of output rephrased text of original input sentence

SentenceSegmentationResponse

Name	Path	Type	Description
Successful	Successful	boolean
Sentences	Sentences	array of string
SentenceCount	SentenceCount	integer

GetWordsResponse

Words in input string

Name	Path	Type	Description
Words	Words	array of WordPosition	Array of words

WordPosition

Name	Path	Type	Description
Word	Word	string	Word as a string
WordIndex	WordIndex	integer	Zero-based index of the word; first word has index 0, second word has index 1 and so on
StartPosition	StartPosition	integer	Zero-based character offset at which the word begins in the input string
EndPosition	EndPosition	integer	Zero-based character offset at which the word ends in the input string

CheckWordResponse

Spelling correction check result

Name	Path	Type	Description
Correct	Correct	boolean	True if the word is spelled correctly, false otherwise
Suggestions	Suggestions	array of string	Suggested spelling corrections

CheckSentenceResponse

Result of spell checking a sentence

Name	Path	Type	Description
IncorrectCount	IncorrectCount	integer	Number of incorrect words
Words	Words	array of CorrectWordInSentence	Words in the sentence, both correct and incorrect

CorrectWordInSentence

A word in a sentence

Name	Path	Type	Description
Word	Word	WordPosition
Correct	Correct	boolean	True if the word is spelled correctly, false otherwise
Suggestions	Suggestions	array of string	Suggested spelling improvements