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The Key Phrase Extraction API evaluates unstructured text, and for each JSON document, returns a list of key phrases.

This capability is useful if you need to quickly identify the main points in a collection of documents. For example, given input text 'The food was delicious and there were wonderful staff', the service returns the main talking points: 'food' and 'wonderful staff'.

For more information, see Supported languages.

Tip

Text Analytics also provides a Linux-based Docker container image for key phrase extraction, so you can install and run the Text Analytics container close to your data.

Preparation

Key phrase extraction works best when you give it bigger amounts of text to work on. This is opposite from sentiment analysis, which performs better on smaller amounts of text. To get the best results from both operations, consider restructuring the inputs accordingly.

You must have JSON documents in this format: ID, text, language

Document size must be 5,120 or fewer characters per document, and you can have up to 1,000 items (IDs) per collection. The collection is submitted in the body of the request. The following example is an illustration of content you might submit for key phrase extraction.

Step 1: Structure the request

For information about request definition, see How to call the Text Analytics API. The following points are restated for convenience:

• Create a POST request. Review the API documentation for this request: Key Phrases API.

• Set the HTTP endpoint for key phrase extraction by using either a Text Analytics resource on Azure or an instantiated Text Analytics container. You must include /text/analytics/v2.1/keyPhrases in the URL. For example: https://<your-custom-subdomain>.api.cognitiveservices.azure.com/text/analytics/v2.1/keyPhrases.

• /sap-r-3-license-and-object-key-generator.html. Set a request header to include the access key for Text Analytics operations.

• In the request body, provide the JSON documents collection you prepared for this analysis.

Generated Key Phrases For Cyber Bullying Examples

Tip

Use Postman or open the API testing console in the documentation to structure a request and POST it to the service.

Step 2: Post the request

Analysis is performed upon receipt of the request. For information about the size and number of requests you can send per minute or per second, see the data limits section in the overview .

Recall that the service is stateless. No data is stored in your account. Results are returned immediately in the response.

Step 3: View results

All POST requests return a JSON formatted response with the IDs and detected properties. The order of the returned key phrases is determined internally, by the model.

Output is returned immediately. You can stream the results to an application that accepts JSON or save the output to a file on the local system, and then import it into an application that allows you to sort, search, and manipulate the data.

Guild wars free access key generator. An example of the output for key phrase extraction is shown here:

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As noted, the analyzer finds and discards non-essential words, and it keeps single terms or phrases that appear to be the subject or object of a sentence.

Summary

In this article, you learned concepts and workflow for key phrase extraction by using Text Analytics in Cognitive Services. In summary:

• Key phrase extraction API is available for selected languages.
• JSON documents in the request body include an ID, text, and language code.
• POST request is to a /keyphrases endpoint, using a personalized access key and an endpoint that is valid for your subscription.
• Response output, which consists of key words and phrases for each document ID, can be streamed to any app that accepts JSON, including Microsoft Office Excel and Power BI, to name a few.

See also

Generated Key Phrases For Cyber Bullying Statistics

Text Analytics overviewFrequently asked questions (FAQ)
Text Analytics product page

Generated Key Phrases For Cyber Bullying In Adults

Next steps