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LLM-powered ParlaCAP dataset analyzes European parliamentary agenda setting

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ParlaCAP, a new dataset designed to analyze parliamentary agenda setting across 28 European countries. This dataset utilizes a multilingual LLM in a teacher-student framework to create domain-specific policy topic classifiers, achieving annotation agreement comparable to human annotators. The ParlaCAP dataset includes extensive metadata and sentiment predictions, enabling comparative research on political attention and representation. AI

IMPACT Enables new avenues for comparative political science research using LLM-based analysis of parliamentary data.

RANK_REASON This is a research paper introducing a new dataset and methodology for analyzing parliamentary discourse.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM-powered ParlaCAP dataset analyzes European parliamentary agenda setting

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This is a research paper introducing a new dataset and methodology for analyzing parliamentary discourse.
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Taja Kuzman Punger\v{s}ek, Peter Rupnik, Daniela \v{S}irini\'c, Nikola Ljube\v{s}i\'c ·

    Supercharging Agenda Setting Research: The ParlaCAP Dataset of 28 European Parliaments and a Scalable Multilingual LLM-Based Classification

    arXiv:2602.16516v2 Announce Type: replace Abstract: This paper introduces ParlaCAP, a large-scale dataset for analyzing parliamentary agenda setting across Europe, and proposes a cost-effective method for building domain-specific policy topic classifiers. Applying the Comparative…

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