Overview
AI Agent for Sentiment & Tone Analysis - Decode sentiment for faster, smarter customer support. Test the AI agent that analyzes customer communications to help teams respond quickly and with care. What you'll experience Instant Communication Analysis Watch the agent process messages to detect emotional cues and urgency in real time. Sentiment and Tone Insights See AI evaluate sentiment (positive/neutral/negative) and tone (urgency, formality, emotion) with clear justifications. Smarter Response Prioritization See how the agent helps your team identify urgent messages and improve support efficiency. Powered by AWS Runs on trusted cloud infrastructure with built-in AI tools like Amazon Bedrock and SageMaker, delivering enterprise-grade performance and rapid results.
Highlights
- Instant Communication Analysis - Watch the agent process messages to detect emotional cues and urgency in real time.
- Sentiment and Tone Insights - See AI evaluate sentiment (positive/neutral/negative) and tone (urgency, formality, emotion) with clear justifications.
- Smarter Response Prioritization - See how the agent helps your team identify urgent messages and improve support efficiency.
Details
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Features and programs
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Pricing
Dimension | Description | Cost/unit |
---|---|---|
Token | AI Agent - Sentiment & Tone Analysis - Free Access | $0.00 |
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No refunds
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Delivery details
- Amazon Bedrock AgentCore - Preview
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
API
Instructions
- You will need Postman installed on your system
- Download the "AWS_API_Based_Support_Case_Sentiment_Analysis_AIAgent.json” API Collection 3. Import the .json file into Postman as an API Collection 4. You will see 4 API Calls
Using the APIs
A. Authentication: Update the Body with the provided username and password and hit SEND. Once the call is successful it will give you a 200 OK response and generate a TOKEN.
B. Deploy: Select the Deploy Bot API and update the HEADER section. Replace the X-Authorization value with the recently provided TOKEN.
C. Deploy - Input Parameters: Update the Body to pass the input parameters. This AI Agent accepts 2 variables (Both these should be passed in the form of text):
i) Text to Analyze: A text content form the support ticket to analyze the customer's sentiment.
D. Deploy – Execution: Once the API is executed the response will be 200 OK and will deliver a DeploymentID and the AutomationName.
E. Get Activity: This API will show you the progress and current state of the Agent. When you have long-running processes, this API will allow you to capture the completion %. You must update the HEADER with the TOKEN and pass the DEPLOYMENTID in the Body of the API.
F. Get Job Execution Details: This API will fetch the API response from the AI Agent. You need to pass the TOKEN and the JOBID parameters in the API Call. A string containing the full analysis and response will be provided as part of the API response.
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Support
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If you have any questions or face any issues, please reach out to our support team at solutiontestdrive@automationanywhere.com
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