arXiv:2410.17960cs.CL2024-10被引 4

用时序LDA分析德国议会文本,识别重大政治变革的发言主题变化

Zeitenwenden: Detecting changes in the German political discourse

  • 基于时序LDA模型分析1949年以来德国议会发言文本
  • 发现关键历史事件后政治话题出现显著持续性转变
  • 适合关注政治话语演变与社会变迁关系的研究者

从1871年首个德意志民族国家成立至今,德国政治格局历经君主制、民主制、独裁及再次回归民主。1949年联邦德国成立后,每次联邦议院全体会议均被记录并数字化。本文采用时序LDA主题模型分析这些文本,探究哪些事件对政治话语产生长期影响,以及政治议题随时间的变化。该方法可检测词频变化,从而揭示关键讨论议题的演变。

原文摘要 · Abstract (English)

From a monarchy to a democracy, to a dictatorship and back to a democracy -- the German political landscape has been constantly changing ever since the first German national state was formed in 1871. After World War II, the Federal Republic of Germany was formed in 1949. Since then every plenary session of the German Bundestag was logged and even has been digitized over the course of the last few years. We analyze these texts using a time series variant of the topic model LDA to investigate which events had a lasting effect on the political discourse and how the political topics changed over time. This allows us to detect changes in word frequency (and thus key discussion points) in political discourse.

政治话语主题建模时序分析

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