FrenchMajesty/consistent-classifier

Go package for creating consistent labels for a large dataset from an unconstrained label set using LLMs and Vector clustering

40
/ 100
Emerging

This tool helps you automatically organize large amounts of unstructured text, like customer feedback or social media posts, into consistent categories. You feed it raw text, and it returns a clear, consolidated label for each item. This is for data analysts, customer support managers, or anyone needing to make sense of huge text datasets without manual review.

Use this if you need to classify millions of text entries and require consistent, high-quality labels without the high cost and time of repeated manual review or direct LLM calls.

Not ideal if you have a small, easily categorized dataset or if you need to classify highly nuanced text that requires constant human judgment for each item.

customer-feedback-analysis content-categorization social-listening data-operations text-analytics
No Package No Dependents
Maintenance 6 / 25
Adoption 8 / 25
Maturity 15 / 25
Community 11 / 25

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Stars

63

Forks

6

Language

Go

License

MIT

Last pushed

Nov 01, 2025

Commits (30d)

0

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