Extracting Networks of People and Places from Literary Texts

We describe a method to automatically extract social networks from literary texts. Similar to those in prior research, nodes represent characters found in the texts; edges connect them to other characters with whom they interact, and also display sentences describing their interactions. Furthermore, other nodes encode places and are connected to characters who were active there. Thus, these networks present an overview of the “who”, “what”, and “where” in large text corpora, visualizing associations between people and places.