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Identrics
API Framework

Text Sentiment AnalysisSentiment API by Identrics

Quantify how audiences feel about brands, products and topics - at scale.

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Use it standalone, or compose it with any other Kaspian enrichment - sentiment, NER, topics, summarisation, and more - in a single pipeline.
Kaspian API
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82% Positive
What the API Does

A single API endpoint, production-ready.

The Sentiment API quantifies how audiences feel about brands, products, leaders and topics - in real time, across 11+ languages. Built on an award-winning human-in-the-loop model, it goes beyond positive / negative / neutral to capture nuance, context and emotion.

Use it to score whole documents or specific entities inside them, so you can see exactly how sentiment shifts toward a particular brand, product line or executive - not just the overall mood of an article.

Common use cases:

  • 01Track brand perception in real time across markets and languages.
  • 02Detect crises early through negative sentiment spikes around your brand or executives.
  • 03Evaluate campaign reception by region, segment and channel.
  • 04Score customer feedback, reviews and support tickets at scale.
API Capabilities

What you get out of the Sentiment endpoint.

Built and maintained by the Identrics applied AI team. Trained on human-in-the-loop data, benchmarked continuously, and shipped to you as a single, well-documented API.

01

Document & entity-level scoring

Get a score for the whole text, plus per-entity sentiment for every brand, person and product mentioned.

02

Multilingual by default

11+ languages out of the box, with consistent score interpretation across markets.

03

Human-in-the-loop accuracy

Models continuously refined by human annotators - low bias, high precision, tunable to your domain.

04

Customisable to your tone

Fine-tune to your industry, glossary and tone of voice so scores reflect how you read content.

Available languages

Models trained and benchmarked across 11+ languages out of the box. Additional languages on request.

  • English
  • German
  • French
  • Spanish
  • Bulgarian
  • Italian
  • Chinese (traditional)
  • Portuguese
  • Russian
  • Swedish
  • Dutch
How the API Works

From request to enriched response.

  1. 01

    Send text + optional entities

    POST documents to the API. Optionally pass the entities you want scored individually.

  2. 02

    Models score sentiment

    Document-level polarity plus per-entity sentiment, with confidence scores attached.

  3. 03

    Plug scores into your stack

    Pipe results into dashboards, alerts and downstream analytics in a structured format.

Where It Fits

Industries already running this API in production.

Media Monitoring & PR

Power dashboards and alerts that show clients exactly how coverage moves the needle on brand sentiment - in every language they operate in.

Consumer Brands & Retail

Turn reviews, social mentions and survey data into a continuously updated picture of how customers feel about every product line.

Financial Services

Track market and reputational sentiment around banks, funds and listed entities, including entity-level signals embedded in long articles.

Combine With

Use it alone. Or stack it with the rest of Kaspian.

Every Kaspian enrichment ships as its own API, and they all share a common contract - so you can call Sentiment on its own today, or chain it with any of the others tomorrow to build a richer pipeline. No extra integration work.

Sentiment API

Ready to plug Sentiment into your stack? Tell us the job; we'll spin up a standalone or composed deployment.

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