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Add license scan report and status #13

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6 changes: 6 additions & 0 deletions README.md
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# GSDMM: Short text clustering
[![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Frwalk%2Fgsdmm.svg?type=shield)](https://app.fossa.com/projects/git%2Bgithub.com%2Frwalk%2Fgsdmm?ref=badge_shield)


This project implements the Gibbs sampling algorithm for a Dirichlet Mixture Model of [Yin and Wang 2014](https://pdfs.semanticscholar.org/058a/d0815ce350f0e7538e00868c762be78fe5ef.pdf) for the
clustering of short text documents.
Expand Down Expand Up @@ -37,3 +39,7 @@ y = mgp.fit(docs)
```
Each doc in `docs` must be a unique list of tokens found in your short text document. This implementation does not support
counting tokens with multiplicity (which generally has little value in short text documents).


## License
[![FOSSA Status](https://app.fossa.com/api/projects/git%2Bgithub.com%2Frwalk%2Fgsdmm.svg?type=large)](https://app.fossa.com/projects/git%2Bgithub.com%2Frwalk%2Fgsdmm?ref=badge_large)