Configure AI Sentiment Use Case in AI+ Studio
Updated
AI Sentiment in AI+ Studio lets you customize message-level sentiment analysis to fit your business needs. You can refine how sentiment is interpreted by editing prompts and validating results through bulk testing. This builds on the existing message-level AI Sentiment capability available in the platform.
Sentiment analysis identifies the emotional tone of text, such as customer messages, reviews, or conversations. By customizing prompts, you can adapt sentiment detection for your industry, terminology, and use cases.
Note: Access to this feature is controlled by a dynamic property (DP). To enable this feature in your environment, reach out to your Success Manager. Alternatively, you can submit a request at tickets@sprinklr.com.
Prerequisites
- Ensure that AI+ Studio is enabled in your environment
- Confirm that you have permission to create and manage deployments
Create and Configure an AI Sentiment Deployment
Follow these steps to configure an AI Sentiment use case:
Open AI+ Studio from the Sprinklr Launchpad.
Select Deploy Your Use Case.
Under Platform use cases, select AI Sentiment.
You are redirected to the Deployments record manager.Click + Add Deployment in the top-right corner.
In the Basic Details screen, enter the required details:
Basic details fields
Field | Description |
Name (required) | Enter a clear and descriptive name for the deployment. |
Priority (required) | Set the priority level. If multiple deployments apply, the one with the highest priority is used. |
Description (optional) | Add details about the purpose and intended usage of the deployment. |
Deploy on all Records | Enable this option to apply the deployment to all records. |
Template (optional) | Select Sprinklr Default Deployment as a starting point. |
Share Deployment with (optional) | Provide access to specific users or user groups. |
Click Save.
You are redirected to the Pipelines screen.
Customize the Prompt Node
In the pipeline, configure the Prompt node to define how sentiment should be evaluated.
- Update the prompt based on your business context
- Include examples or instructions to improve accuracy
For more details on configuring the Prompt node, see Configure Prompt Node in AI Deployments.
After updating the prompt, save the Pipeline as a draft.
Bulk Test the Deployment
Bulk testing lets you validate your sentiment configuration across multiple inputs.
Open Bulk Test
- In the Deployments record manager, locate your deployment.
- Click the vertical ellipsis (⋮) next to it.
- Select Bulk Test.
A third pane opens showing previous test runs.
Run a New Bulk Test
To create a new bulk test:
- Click the + (plus) icon in the top-right corner of the pane.
In the Initiate Bulk Test screen, configure the following:
- Name: Enter a unique test name
- Bulk Execution Threshold: Define the maximum number of requests per run
Upload an input file in .xls, .xlsx, or .csv format.
- Each column represents one input variable
- You can download a template file, update it with test data, and upload it
- Click Save.
The test appears in the pane with a Queued status. Once execution completes, the status updates to Completed or Failed.
View Bulk Test Results
- Click the eye icon next to a test run.
- You are redirected to the Bulk Test Detailed Log screen.
Use this view to analyze results and refine your prompt.
You can create a customized AI Sentiment deployment, test it at scale, and refine sentiment interpretation based on your use case.
Next Steps
- Refine your prompt using insights from bulk testing
- Increase test coverage with diverse message samples
- Deploy the configuration to production once validated