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Social scientists have become increasingly interested in how narratives --the stories in fiction, politics, and life -- shape beliefs, behavior, andgovernment policies. This paper provides an unsupervised method to quantifylatent narrative structures in text documents. Our new software package RELATIOidentifies coherent entity groups and maps explicit relations between them inthe text. We provide an application to the United States Congressional Recordto analyze political and economic narratives in recent decades. Our analysishighlights the dynamics, sentiment, polarization, and interconnectedness ofnarratives in political discourse.

RELATIO: Text Semantics Capture Political and Economic Narratives