ronaldgosso/semantic-keywords

TF-IDF counts words. semantic-keywords understands meaning. It uses sentence embeddings (all-MiniLM-L6-v2 by default) and Maximal Marginal Relevance (MMR) to return keywords that are both relevant and diverse — not just the most frequent phrases. Works fully offline after a one-time model download. No API key. No rate limits.

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

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Language

Python

License

MIT

Category

model

Last pushed

Mar 31, 2026

Commits (30d)

0

GitHub
Model · 23 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/ronaldgosso/semantic-keywords"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

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