Hopes and Fears -- Emotion Distribution in the Topic Landscape of Finnish Parliamentary Speech 2000-2020

2026-01-28

AI Summary

This study addresses a common oversight in existing research that treats parliamentary discourse as an emotionally homogeneous entity, neglecting variation across topics. By integrating topic modeling with sentiment analysis, the authors conduct both synchronic and diachronic analyses of Finnish parliamentary speeches from 2000 to 2020, offering the first systematic examination of the distinct emotional profiles associated with different policy issues. The findings reveal an overall positive emotional tone in parliamentary discourse, yet demonstrate significant and consistent differences in emotional expression across topics. These results challenge the prevailing assumption of emotional homogeneity in political speech and provide a novel perspective on the dynamics of affect in legislative discourse.

Technology Category

• Natural Language Processing: Discourse, Pragmatics & Argument Mining
• Cognitive Modeling & Cognitive Systems: Affective Computing
• Application Domains: Humanities & Computational Social Science

Application Category

• Web Mining and Content Analysis: Sentiment analysis and opinion mining
• Social Networks and Social Media: Media and governance, opinion dynamics, filter bubbles, polarization
• User Modeling, Personalization and Recommendation: Studies of user behavior, including longitudinal effects of personalized systems

Abstract

Existing research often treats parliamentary discourse as a homogeneous whole, overlooking topic-specific patterns. Parliamentary speeches address a wide range of topics, some of which evoke stronger emotions than others. While everyone has intuitive assumptions about what the most emotive topics in a parliament may be, there has been little research into the emotions typically linked to different topics. This paper strives to fill this gap by examining emotion expression among the topics of parliamentary speeches delivered in Eduskunta, the Finnish Parliament, between 2000 and 2020. An emotion analysis model is used to investigate emotion expression in topics, from both synchronic and diachronic perspectives. The results strengthen evidence of increasing positivity in parliamentary speech and provide further insights into topic-specific emotion expression within parliamentary debate.

Problem

• parliamentary discourse
• emotion distribution
• topic-specific emotions
• Finnish Parliament
• emotion analysis

Innovation

• emotion analysis
• topic modeling
• parliamentary discourse
• diachronic analysis
• sentiment distribution