  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 United States 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.
