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The number of standardized policy documents regarding climate policy andtheir publication frequency is significantly increasing. The documents are longand tedious for manual analysis, especially for policy experts, lawmakers, andcitizens who lack access or domain expertise to utilize data analytics tools.Potential consequences of such a situation include reduced citizen governanceand involvement in climate policies and an overall surge in analytics costs,rendering less accessibility for the public. In this work, we use a LatentDirichlet Allocation-based pipeline for the automatic summarization andanalysis of 10-years of national energy and climate plans (NECPs) for theperiod from 2021 to 2030, established by 27 Member States of the EuropeanUnion. We focus on analyzing policy framing, the language used to describespecific issues, to detect essential nuances in the way governments frame theirclimate policies and achieve climate goals. The methods leverage topic modelingand clustering for the comparative analysis of policy documents acrossdifferent countries. It allows for easier integration in potentialuser-friendly applications for the development of theories and processes ofclimate policy. This would further lead to better citizen governance andengagement over climate policies and public policy research.

Climate Policy Tracker: Pipeline for automated analysis of public climate policies