Get a quick sentiment read on customer messages
Pass in a customer message and get a sentiment score and label to inform your response priority.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Analyze Text Sentiment
Analyzes text sentiment and returns a score and classification.
Why this helps
When messages pile up, it is hard to spot frustration or positive feedback quickly.
- Get a sentiment score from -1 to 1.
- See the returned sentiment classification.
- Use the result as context for deciding what to review first.
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Api ninjas once in the Notis portal.
- 2Create an automation in the portal or tell Notis to create one.
- 3In one instruction, ask Notis to analyze submitted customer text and report its sentiment score and classification.
- 4Choose the webhook trigger and where run reports should go.
- 5Test with one real customer message.
Questions about this workflow
Does sentiment analysis decide how to respond?
It returns a score and classification. You can ask Notis to use that result as context, but the analysis itself does not send a reply.
What should the webhook contain?
Include the customer text you want analyzed.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Api ninjas. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Api ninjas actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Analyze Text Sentiment
Analyzes text sentiment and returns a score and classification.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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Connect any two apps with Notis in the middle.
Ai ml api and Api ninjas, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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