MDS FEST 3.0

Building and Analysing a Structured Dataset of Singapore's Parliamentary Speeches - Par-leh-mate

Jonah Foong, Data Science & Analytics, Parleh-mate

Jeremy Chia, Senior Analytics Engineer, Vinted

Royce Hoe, Senior Software Engineer, MSUIT

A passion project to improve access to parliamentary debates in Singapore has evolved into a valuable tool for academics, practitioners, and voters. Learn how this initiative helps citizens better understand their representatives' positions and statements.

Talk overview

What started out as a passion project between three friends to get better access to parliamentary debates in Singapore has turned into a useful tool for academics, practitioners, and the electorate to learn more about what their representatives are saying in parliament. We want to share about this initiative - Par-leh-Mate, which hopes to bring more transparency to politics and governance in Singapore.This is a project which first started with data acquisition, cleaning (Python), to modelling and transformation (dbt), topic modelling, summarisation with LLMs, and finally deployment (on Render).

https://parlehmate.onrender.com/

Thursday, SeptemBer 18 at 1PM EST

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See live demos of how AI Agents automate governance tasks, streamline cataloging, and generate dbt models in minutes. Stay for Q&A with the team to learn how to put Agents into practice in your own workflows.

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