Microsoft Text Analytics

The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to…

1.1k subscribers
0.1/10 popularity
377 ms avg latency
6 endpoints
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Microsoft Text Analytics endpoints

MethodEndpointDescription
Entities
POST Entities Recognition General
/entities/recognition/general
The API returns a list of general named entities (Person, Location, Organization etc) in a given document. General named entities are returned with entity types. See the…
POST Entities Linking
/entities/linking
The API returns a list of recognized entities with links to a well-known knowledge base. See the [Supported languages in Text Analytics…
POST EntitiesRecognitionPii
/entities/recognition/pii
The API returns a list of PII entities ("United States SSN", "Drivers license", "Credit card number" etc) in a given document. See the [Supported languages in Text Analytics…
Key Phrases
POST Key Phrases
/keyPhrases
The API returns a list of strings denoting the key talking points in the input text. See the [Supported languages in Text Analytics…
Languages
POST Detect Language
/languages
The API returns the detected language and a numeric score between 0 and 1. Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120…
Sentiment
POST Sentiment
/sentiment
The API returns a document sentiment prediction, as well as sentiment scores for each sentiment class (Positive, Negative, and Neutral).In addition, sentence level sentiment…

Microsoft Text Analytics pricing

PlanPriceRate limitQuotas
BASIC Free
  • Requests: unlimited / monthly

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