# Open Framework for Analyzing Public Parliaments Data

arXiv: https://arxiv.org/abs/2210.00433 · HTML: https://mlsanity.com/paper/2210.00433/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Oct 2022.

## Built on by (most cited first, 1 of 1)

- [Framework of Voting Prediction of Parliament Members](https://mlsanity.com/paper/2505.12535/) (2025)

## Abstract (arXiv)

Open information of government organizations is a subject that should interest all citizens who care about the functionality of their governments. Large-scale open governmental data open the door to new opportunities for citizens and researchers to monitor their government's activities and to improve its transparency. Over the years, various projects and systems have been processing and analyzing governmental data using open government information. Here, we present the Collecting and Analyzing Parliament Data (CAPD) framework. This novel generic open framework enables the collection and analysis of large-scale public governmental data from multiple sources. We used the framework to collect over 64,000 parliaments' protocols from over 90 committees from three countries. Then, we parsed the collected data and calculated structured features from it. Next, using the calculated features, we utilized anomaly detection and time series analysis to uncover various insights into the committees' activities. We demonstrate that the CAPD framework can be used to identify anomalous meetings and detect dates of events that affect the parliaments' functionality, and help to monitor their activities.