  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.
