AI Text Sentiment Analysis API

What it does

Text Sentiment Analyzer evaluates the sentiment of a text string and returns provider-specific analysis data from the selected service.

Send a body object with text as the required input. You can also include encoding, language, and requested_service to choose between azure, google, or apyhub. If you need to authenticate against a provider directly, the request supports optional azure credentials (key, region, endpoint, account_id, access_token) and optional google settings (google_language, google_credential_json).

The response contains a top-level data object with one of three possible branches: azure, google, or apyhub. Each branch holds the sentiment analysis response from that provider. That makes it useful when you want to compare provider output, route analysis through a specific NLP stack, or keep one endpoint in front of multiple sentiment engines.

Use Text Sentiment Analyzer when you need to score user feedback, triage support messages, or classify short reviews by tone before storing them, routing them, or displaying them in a dashboard.