# Sentiment Analysis Plugin

⚠️️ Dataiku strongly recommends to rather use the native [Generative AI](https://doc.dataiku.com/dss/latest/generative-ai/index.html) features, which mostly supersede this plugin.

![Build status](https://github.com/dataiku/dss-plugin-nlp-sentiment-analysis/actions/workflows/auto-make.yml/badge.svg) ![GitHub release (latest by date)](https://img.shields.io/github/v/release/dataiku/dss-plugin-nlp-sentiment-analysis?logo=github) ![Support level](https://img.shields.io/badge/support-Unsupported-orange)

This Dataiku DSS plugin provides a recipe to estimate the sentiment polarity (positive/negative) of text data in English.

Documentation: https://www.dataiku.com/product/plugins/sentiment-analysis/


## License

This plugin is distributed under the [BSD 3-Clause](LICENSE).
The English model bundled with this plugin comes from fastText, which is under [MIT License](https://github.com/facebookresearch/fastText/blob/master/LICENSE).


## References

- P. Bojanowski, E. Grave, A. Joulin, T. Mikolov, [*Enriching Word Vectors with Subword Information*](https://arxiv.org/abs/1607.04606)

- A. Joulin, E. Grave, P. Bojanowski, T. Mikolov, [*Bag of Tricks for Efficient Text Classification*](https://arxiv.org/abs/1607.01759)

- A. Joulin, E. Grave, P. Bojanowski, M. Douze, H. Jégou, T. Mikolov, [*FastText.zip: Compressing text classification models*](https://arxiv.org/abs/1612.03651)
