alexander-poon/represent

Civic Engagement with Data Science

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/ 100
Experimental

This tool helps civic engagement organizations analyze legislation by applying natural language processing to bill texts. It takes raw legislative documents as input and outputs key features like identified topics and predicted bill outcomes. This is useful for advocates, policy researchers, and non-profits working to inform the public and drive action on specific bills.

No commits in the last 6 months.

Use this if you need to quickly understand the core issues within a large volume of legislative text and predict their potential success.

Not ideal if you require a simple search engine for legislation or already have a robust in-house NLP solution.

legislative-analysis civic-engagement policy-research advocacy non-profit-management
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 6 / 25

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Jupyter Notebook

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Category

academic-course-projects

Last pushed

Dec 08, 2022

Commits (30d)

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GitHub
Academic Course Projects · 48 tools

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