An Azure service that provides natural language capabilities including sentiment analysis, entity extraction, and automated question answering.
To migrate your data from Language Understanding (LUIS) to Conversational Language Understanding (CLU), you can follow these steps:
- Export Your LUIS Data: Start by exporting your LUIS app data. You can do this through the LUIS portal or using the LUIS API.
- Prepare Your Data for CLU: After exporting, you may need to adjust your data format to match the requirements of CLU. This typically involves ensuring that intents and entities are correctly mapped.
- Import into CLU: Use the CLU API to import your adjusted LUIS JSON file into the new CLU model. You can find specific guidelines on how to do this in the migration documentation.
- Train Your CLU Model: Once your data is imported, you will need to train your CLU model to ensure it understands the intents and entities as expected.
- Test and Validate: After training, test your CLU model to validate that it performs as intended. Make any necessary adjustments based on the results.
Regarding the portal for filling in details like subscription and language resource, ensure that you are accessing the correct Azure portal for managing your AI services. If you are unable to see the portal, check your Azure subscription status and permissions, as these can affect your access to certain resources.
For more detailed guidance, refer to the migration guide provided by Microsoft.
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