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NLP & Text Analytics

Text is part of the data plane: tickets, reviews, contracts, notes. NLP endpoints classify, summarize, and extract so agents can treat language as structured input.

Classification, summarization, entities, keywords, and topics run as API tools. Agents and pipelines can call them on a source the same way they call SQL.

Pair with ETL when the text lives in a warehouse or object store rather than a CSV upload.

What this does for the business

  • Turn support transcripts into topics before the weekly ops review.
  • Extract entities from tenders or contracts into a table agents can join.
  • Feed sentiment features into churn or recommendation models.

API

POST /api/nlp/classify POST /api/nlp/summarize

Full reference: api.dsnresearch.com/docs

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