compdemocracy/polis

:milky_way: Open Source AI for large scale open ended feedback

What it solves

Polis is designed to gather public sentiment in a way that is more organic than traditional surveys and requires less effort than conducting focus groups. It aims to scale deliberation by mapping high-dimensional opinion spaces to understand how different groups feel about various issues.

How it works

Polis uses an AI-powered platform to collect and analyze opinions. While the technical specifics of the analysis are detailed in its methods paper, the system is deployed as a suite of Docker containers including a server, a math process, and a Python-based machine learning service called "delphi". It allows participants to express their views and uses ML to map the opinion landscape.

Who it’s for

The platform is primarily aimed at nonprofits and governments who need to gather sentiment and facilitate large-scale deliberation.

Highlights

  • AI-Powered Analysis: Uses machine learning to map opinion spaces and analyze sentiment.
  • Scalable Deliberation: Designed to handle large numbers of concurrent conversations.
  • Docker-Based Deployment: Provided with a complete Docker infrastructure for both production and development environments.
  • Open Source: Released under the AGPLv3 license.

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