title | description | titleSuffix | author | manager | ms.service | ms.topic | ms.date | ms.author | ms.devlang | ms.custom |
---|---|---|---|---|---|---|---|---|---|---|
Send a Custom sentiment analysis request to your custom model |
Learn how to send requests for Custom sentiment analysis. |
Azure AI services |
jboback |
nitinme |
azure-ai-language |
how-to |
12/19/2023 |
jboback |
csharp |
language-service-custom-ner |
After the deployment is added successfully, you can query the deployment to extract entities from your text based on the model you assigned to the deployment. You can query the deployment programmatically using the Prediction API or through the client libraries (Azure SDK).
You can use Language Studio to submit the custom entity recognition task and visualize the results.
[!INCLUDE Test model]
[!INCLUDE Get prediction URL]
First you need to get your resource key and endpoint:
[!INCLUDE Get keys and endpoint Azure Portal]
[!INCLUDE submit a Custom sentiment analysis task using the REST API]
[!INCLUDE get Custom sentiment analysis task results]