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 protected] |
| 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
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
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
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).
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
textToDetect
|
textToDetect | string |
Text to detect the language of |
Returns
Output of a language detection operation
Extract entities from string
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
Extract sentences from string
Segment an input string into separate sentences, output result as a string.
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
InputString
|
InputString | string |
Returns
Find spelling corrections
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
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
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
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
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
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
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
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
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
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
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.
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
TextToAnalyze
|
TextToAnalyze | string |
Text to analyze |
Returns
Output of a sentiment analysis operation
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.
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
TextToAnalyze
|
TextToAnalyze | string |
Text to analyze |
Returns
Output of a subjectivity analysis operation
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.
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
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
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.
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
TextToTranslate
|
TextToTranslate | string |
Text to translate |
Returns
Output of a language translation operation
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.
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
TextToTranslate
|
TextToTranslate | string |
Text to translate |
Returns
Output of a language translation operation
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.
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
TextToTranslate
|
TextToTranslate | string |
Text to translate |
Returns
Output of a language translation operation
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 |