How to use Named Entity Recognition(NER)
The NER feature can evaluate unstructured text, and extract named entities from text in several pre-defined categories, for example: person, location, event, product, and organization.
Determine how to process the data (optional)
Specify the NER model
By default, this feature will use the latest available AI model on your text. You can also configure your API requests to use a specific model version.
Input languages
When you submit documents to be processed, you can specify which of the supported languages they're written in. if you don't specify a language, key phrase extraction will default to English. The API may return offsets in the response to support different multilingual and emoji encodings.
Submitting data
Analysis is performed upon receipt of the request. Using the NER feature synchronously is stateless. No data is stored in your account, and results are returned immediately in the response.
When using this feature asynchronously, the API results are available for 24 hours from the time the request was ingested, and is indicated in the response. After this time period, the results are purged and are no longer available for retrieval.
The API will attempt to detect the defined entity categories for a given document language.
Getting NER results
When you get results from NER, you can stream the results to an application or save the output to a file on the local system. The API response will include recognized entities, including their categories and sub-categories, and confidence scores.
Service and data limits
For information on the size and number of requests you can send per minute and second, see the service limits article.
Next steps
Povratne informacije
Pošalјite i prikažite povratne informacije za