Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.
What is the wri-dssg-omdena/policy-data-analyzer GitHub project? Description: "Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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