GitHub / wri-dssg-omdena / policy-data-analyzer
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.
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PURL: pkg:github/wri-dssg-omdena/policy-data-analyzer
Stars: 35
Forks: 8
Open issues: 9
License: other
Language: Jupyter Notebook
Size: 226 MB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: 8 months ago
Pushed at: over 3 years ago
Last synced at: 4 months ago
Topics: active-learning, bert, data-science, document-classification, environmental, huggingface, incentives, landscape-restoration, lda, machine-learning, nlp, policy, sbert, scraping, scrapy, sentence-transformers, spyder, text-classification, topic, transformers