Parliamentary and legislative debate transcripts provide an exciting insight
into elected politicians' opinions, positions, and policy preferences. They are
interesting for political and social sciences as well as linguistics and
natural language processing (NLP). Exiting research covers discussions within
individual parliaments. In contrast, we apply advanced NLP methods to a joint
and comparative analysis of six national parliaments (Bulgarian, Czech, French,
Slovene, Spanish, and United Kingdom) between 2017 and 2020, whose transcripts
are a part of the ParlaMint dataset collection. Using a uniform methodology, we
analyze topics discussed, emotions, and sentiment. We assess if the age,
gender, and political orientation of speakers can be detected from speeches.
The results show some commonalities and many surprising differences among the
analyzed countries.

本文通过先进的 NLP 方法，联合比较分析了保加利亚、捷克、法国、斯洛文尼亚、西班牙和英国等 6 个国家在 2017-2020 年间的议会和立法辩论记录，探讨并评估不同国家议员的观点、情感以及性别、政治取向的识别，发现分析对象之间存在许多差异和共性。