关系:文本语义捕捉政治和经济叙事

IF 4.7 2区 社会学 Q1 POLITICAL SCIENCE Political Analysis Pub Date : 2021-08-03 DOI:10.1017/pan.2023.8
Elliott Ash, G. Gauthier, Philine Widmer
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引用次数: 7

摘要

社会科学家对叙事——小说、政治和生活中的故事——如何塑造信仰、行为和政府政策越来越感兴趣。本文提供了一种无监督的方法来量化文本文档中潜在的叙述结构。我们的新软件包relatio识别了连贯的实体组,并在文本中映射了它们之间的明确关系。我们为美国国会记录提供了一个应用程序,用于分析近几十年来的政治和经济叙事。我们的分析强调了政治话语中叙事的动态、情感、两极分化和相互联系。
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Relatio: Text Semantics Capture Political and Economic Narratives
Social scientists have become increasingly interested in how narratives—the stories in fiction, politics, and life—shape beliefs, behavior, and government policies. This paper provides an unsupervised method to quantify latent narrative structures in text documents. Our new software package relatio identifies coherent entity groups and maps explicit relations between them in the text. We provide an application to the U.S. Congressional Record to analyze political and economic narratives in recent decades. Our analysis highlights the dynamics, sentiment, polarization, and interconnectedness of narratives in political discourse.
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来源期刊
Political Analysis
Political Analysis POLITICAL SCIENCE-
CiteScore
8.80
自引率
3.70%
发文量
30
期刊介绍: Political Analysis chronicles these exciting developments by publishing the most sophisticated scholarship in the field. It is the place to learn new methods, to find some of the best empirical scholarship, and to publish your best research.
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