title | titleSuffix | description | author | manager | ms.service | ms.topic | ms.date | ms.author | ms.custom |
---|---|---|---|---|---|---|---|---|---|
How to create Custom sentiment analysis projects |
Azure AI services |
Learn about the steps for using Azure resources with Custom sentiment analysis. |
jboback |
nitinme |
azure-ai-language |
how-to |
12/19/2023 |
jboback |
language-service-custom-classification, references_regions |
Use this article to learn how to set up the requirements for starting with Custom sentiment analysis and create a project.
Before you start using Custom sentiment analysis, you'll need:
- An Azure subscription - Create one for free.
Before you start using Custom sentiment analysis, you'll need an Azure Language resource. It's recommended to create your Language resource and connect a storage account to it in the Azure portal. Creating a resource in the Azure portal lets you create an Azure storage account at the same time, with all of the required permissions preconfigured. You can also read further in the article to learn how to use a pre-existing resource, and configure it to work with Custom sentiment analysis.
You also need an Azure storage account where you'll upload your .txt
documents that will be used to train a model to classify text.
Note
- You need to have an owner role assigned on the resource group to create a Language resource.
- If you will connect a pre-existing storage account, you should have an owner role assigned to it.
Note
You shouldn't move the storage account to a different resource group or subscription once it's linked with the Language resource.
[!INCLUDE create a new resource from the Azure portal]
[!INCLUDE create a new resource from Language Studio]
[!INCLUDE create a new resource with Azure PowerShell]
Note
- The process of connecting a storage account to your Language resource is irreversible, it cannot be disconnected later.
- You can only connect your language resource to one storage account.
[!INCLUDE use an existing resource]
Once your resource and storage container are configured, create a new Custom sentiment analysis project. A project is a work area for building your custom AI models based on your data. Your project can only be accessed by you and others who have access to the Azure resource being used. If you have labeled data, you can import it to get started.
[!INCLUDE Language Studio project creation]
[!INCLUDE REST APIs project creation]
[!INCLUDE Import project]
[!INCLUDE Import project]
[!INCLUDE Language Studio project details]
[!INCLUDE REST API project details]
[!INCLUDE Delete project using Language Studio]
[!INCLUDE Delete project using the REST API]