Measuring Emotion in Parliamentary Debates with Automated Textual Analysis.

An impressive breadth of interdisciplinary research suggests that emotions have an influence on human behavior. Nonetheless, we still know very little about the emotional states of those actors whose daily decisions have a lasting impact on our societies: politicians in parliament. We address this q...

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Main Authors: Ludovic Rheault, Kaspar Beelen, Christopher Cochrane, Graeme Hirst
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5179059?pdf=render
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spelling doaj-5d3dedac4b25456fbcae305023055d842020-11-25T00:42:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016884310.1371/journal.pone.0168843Measuring Emotion in Parliamentary Debates with Automated Textual Analysis.Ludovic RheaultKaspar BeelenChristopher CochraneGraeme HirstAn impressive breadth of interdisciplinary research suggests that emotions have an influence on human behavior. Nonetheless, we still know very little about the emotional states of those actors whose daily decisions have a lasting impact on our societies: politicians in parliament. We address this question by making use of methods of natural language processing and a digitized corpus of text data spanning a century of parliamentary debates in the United Kingdom. We use this approach to examine changes in aggregate levels of emotional polarity in the British parliament, and to test a hypothesis about the emotional response of politicians to economic recessions. Our findings suggest that, contrary to popular belief, the mood of politicians has become more positive during the past decades, and that variations in emotional polarity can be predicted by the state of the national economy.http://europepmc.org/articles/PMC5179059?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Ludovic Rheault
Kaspar Beelen
Christopher Cochrane
Graeme Hirst
spellingShingle Ludovic Rheault
Kaspar Beelen
Christopher Cochrane
Graeme Hirst
Measuring Emotion in Parliamentary Debates with Automated Textual Analysis.
PLoS ONE
author_facet Ludovic Rheault
Kaspar Beelen
Christopher Cochrane
Graeme Hirst
author_sort Ludovic Rheault
title Measuring Emotion in Parliamentary Debates with Automated Textual Analysis.
title_short Measuring Emotion in Parliamentary Debates with Automated Textual Analysis.
title_full Measuring Emotion in Parliamentary Debates with Automated Textual Analysis.
title_fullStr Measuring Emotion in Parliamentary Debates with Automated Textual Analysis.
title_full_unstemmed Measuring Emotion in Parliamentary Debates with Automated Textual Analysis.
title_sort measuring emotion in parliamentary debates with automated textual analysis.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description An impressive breadth of interdisciplinary research suggests that emotions have an influence on human behavior. Nonetheless, we still know very little about the emotional states of those actors whose daily decisions have a lasting impact on our societies: politicians in parliament. We address this question by making use of methods of natural language processing and a digitized corpus of text data spanning a century of parliamentary debates in the United Kingdom. We use this approach to examine changes in aggregate levels of emotional polarity in the British parliament, and to test a hypothesis about the emotional response of politicians to economic recessions. Our findings suggest that, contrary to popular belief, the mood of politicians has become more positive during the past decades, and that variations in emotional polarity can be predicted by the state of the national economy.
url http://europepmc.org/articles/PMC5179059?pdf=render
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AT kasparbeelen measuringemotioninparliamentarydebateswithautomatedtextualanalysis
AT christophercochrane measuringemotioninparliamentarydebateswithautomatedtextualanalysis
AT graemehirst measuringemotioninparliamentarydebateswithautomatedtextualanalysis
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