构建美国国会听证会数据集，助力政策语言分析与能源趋势预测。
CoCoHD: Congress Committee Hearing Dataset
- 收集1997-2024年86个委员会32,697场听证记录
- 通过微调模型分析能源议题，发现化石燃料立场变化趋势
- 适合政策研究、计算社会科学及能源市场分析者使用
美国国会听证会对国家经济与社会结构有深远影响，但相关分析数据匮乏。为此，我们提出国会委员会听证数据集（CoCoHD），涵盖1997至2024年间86个委员会的32,697条记录，支持对医疗、LGBTQ+权利、气候正义等关键议题的政策语言研究。通过在1,000条能源相关语句上微调预训练语言模型，构建听证会层面的能源关联度指标。市场分析表明，基于CoCoHD的自然语言分析可有效预测并揭示能源领域的趋势变化。
原文摘要 · Abstract (English)
U.S. congressional hearings significantly influence the national economy and social fabric, impacting individual lives. Despite their importance, there is a lack of comprehensive datasets for analyzing these discourses. To address this, we propose the Congress Committee Hearing Dataset (CoCoHD), covering hearings from 1997 to 2024 across 86 committees, with 32,697 records. This dataset enables researchers to study policy language on critical issues like healthcare, LGBTQ+ rights, and climate justice. We demonstrate its potential with a case study on 1,000 energy-related sentences, analyzing the Energy and Commerce Committee's stance on fossil fuel consumption. By fine-tuning pre-trained language models, we create energy-relevant measures for each hearing. Our market analysis shows that natural language analysis using CoCoHD can predict and highlight trends in the energy sector.
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