See the data limits section for more information. This article is only an example, the API can accept longer input text. The following is an example of content you might submit for summarization, which is extracted using the Microsoft blog article A holistic representation toward integrative AI. When you get results from language detection, you can stream the results to an application or save the output to a file on the local system. After this time period, the results are purged and are no longer available for retrieval. When you use this feature, the API results are available for 24 hours from the time the request was ingested, and is indicated in the response. Because the API is asynchronous, there might be a delay between sending an API request, and receiving the results. Analysis is performed upon receipt of the request. You submit documents to the API as strings of text. Length: The length of each extracted sentence.ĭetermine how to process the data (optional) Submitting data.Offset: The start position of each extracted sentence.Extractive summarization also returns the following positional information:.Extractive summarization returns sentences together with a rank score, and top ranked sentences are returned per request.Key phrase extraction returns phrases while extractive summarization returns sentences.When deciding between key phrase extraction and extractive summarization, consider the following: There's another feature in Azure AI Language, key phrase extraction, that can extract key information. For example, if you request a three-sentence summary, the service returns the three highest scored sentences. The model gives a score between 0 and 1 (inclusive) to each sentence and returns the highest scored sentences per request. A rank score is an indicator of how relevant a sentence is determined to be, to the main idea of a document. These sentences collectively convey the main idea of the document.Įxtractive summarization returns a rank score as a part of the system response along with extracted sentences and their position in the original documents. The extractive summarization API uses natural language processing techniques to locate key sentences in an unstructured text document. You can also make example requests using Language Studio without needing to write code. If you want to start using these features, you can follow the quickstart article to get started.
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