Skip to main content
Identrics
API Framework

Topic ModellingTopics API by Identrics

Surface emerging topics from unstructured text without predefined labels.

Talk to us about access
Use it standalone, or compose it with any other Kaspian enrichment - sentiment, NER, topics, summarisation, and more - in a single pipeline.
Kaspian API
What the API Does

A single API endpoint, production-ready.

The Topic Modelling API surfaces what people are actually talking about - without you having to define the labels in advance. It groups documents into coherent topics based on the language inside them, so you see narratives as they emerge, not after they break.

Unlike keyword monitoring, topic modelling captures themes that span many wordings, languages and outlets - giving you an honest map of the conversation around your space.

Common use cases:

  • 01Spot emerging narratives across coverage before they reach mainstream attention.
  • 02Cluster customer feedback and support tickets to find the real underlying issues.
  • 03Map the landscape of public discourse around an industry, brand or policy.
  • 04Generate inputs for editorial planning, research and competitive intelligence.
API Capabilities

What you get out of the Topics 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

Unsupervised discovery

No predefined labels required - the API finds coherent topics directly from the content.

02

Multilingual clustering

Group documents that talk about the same thing even when they are written in different languages.

03

Trend & volume signals

Track how each topic grows, shrinks and connects to others over time.

04

Topic descriptors

Receive human-readable summaries and key terms for each topic, ready to render in a UI.

How the API Works

From request to enriched response.

  1. 01

    Send a corpus

    POST a batch of documents covering the period or domain you want analysed.

  2. 02

    Models cluster topics

    Documents are embedded and grouped into coherent topics with descriptors and key terms.

  3. 03

    Receive a topic map

    Get back topics, document membership, volume and trend data ready for dashboards.

Topics API

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