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Computational approaches to fiction have given us a suite of new methods for understanding the role of space in literature. In this class, we will explore how the "spatial humanities" leverages these developments to aid us in identifying and exploring places within the imagined world of the novel. We will explore how named entity recognition and embedding spaces can be used to identify the places with the goal of extracting all place information, real or imaged, from a corpus of novels. We will also investigate visualization methods for spatial data (Geographic Information Systems/GIS, network theory) and study how a sense of space affords us new perspectives on the objects we study.