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Open Framework for Analyzing Public Parliaments Data

1 Pith paper cite this work. Polarity classification is still indexing.

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abstract

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.

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cs.SI 1

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2025 1

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representative citing papers

Framework of Voting Prediction of Parliament Members

cs.SI · 2025-05-18 · reject · novelty 4.0

A multi-country framework predicts individual parliamentary votes with up to 85% accuracy and bill outcomes with up to 84% accuracy, but the evaluation does not include trivial baselines.

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  • Framework of Voting Prediction of Parliament Members cs.SI · 2025-05-18 · reject · none · ref 23 · internal anchor

    A multi-country framework predicts individual parliamentary votes with up to 85% accuracy and bill outcomes with up to 84% accuracy, but the evaluation does not include trivial baselines.