Sentiment Analysis API + Telegram Integration

Why connect them

The Sentiment Analysis API in Telegram.

Telegram offers fast, secure messaging with powerful bot capabilities. Integrating APIs with Telegram enables automated notifications, interactive bots, and real-time data delivery. Reach users instantly with personalized, data-rich messages.

What you can build

Workflows worth wiring.

Build a personal finance bot that sends daily exchange rate updates

Create weather alert notifications for specific locations

Send instant notifications when website monitoring detects downtime

Deliver personalized horoscope readings to subscribers daily

Templates

Ready-made ideas.

Incoming message with text Analyze text → reply with sentimentText, comparative, and normalizedScore via Telegram

Sentiment Analysis Bot via Telegram

Build a Telegram bot that analyzes text sentiment and returns the classification and scores.

New customer feedback received Analyze text → if isNegative is true, send alert with sentimentText and comparative to Telegram

Negative Feedback Alert via Telegram

Get Telegram alerts when customer feedback is classified as negative with its comparative score.

Setup

Connect it in a few steps.

Set up with Zapier

1
Set the trigger. Create a Zap with Telegram as the trigger app and "New message" as the event. Connect your account.
2
Add the API action. Add APIVerve as the action, select the Sentiment Analysis API, and map your trigger data to the request.
3
Send it back. Add a second Telegram action for "Send message" and map the returned fields (like comparative) into it.
4
Test & turn on. Test the Zap with real data to confirm the mapping, then turn it on.

Set up with Make

1
Add the trigger. Create a scenario and add a Telegram module set to "New message". Authenticate your account.
2
Call the API. Add an HTTP module pointing at api.apiverve.com/v1/sentimentanalysis with your x-api-key header. Pass the trigger's data as the input.
3
Parse & map. Add a JSON module to read the response, then a Telegram module for "Send message". Map fields like data.comparative into place.
4
Activate. Run once to confirm the mapping, then switch the scenario on and set its schedule.

Set up with n8n

1
Add the trigger node. Start a workflow with a Telegram trigger node for "New message" and connect your credentials.
2
Add an HTTP Request node. Point it at api.apiverve.com/v1/sentimentanalysis using Header Auth (x-api-key). Feed in the trigger data.
3
Map with expressions. Add a Telegram node for "Send message" and reference the response with expressions such as {{ $json.data.comparative }}.
4
Execute & activate. Execute manually to verify, then activate the workflow for production.

The payload

What Telegram receives.

comparative0.25

sentimentText"positive"

sentiment3

isPositivetrue

isNegativefalse

normalizedScore0.3

Sentiment Analysis API + Telegram