Extracting Networks of Characters and Places from Written Works with CHAPLIN
This tool addresses the need for automated analysis of social structures in written works, but it is incremental as it builds on existing graph visualization methods.
The authors tackled the problem of extracting social networks from narrative texts by developing CHAPLIN, a tool that identifies characters and places and creates interaction networks, resulting in a GV file output for visualization using Graphviz.
We are proposing a tool able to gather information on social networks from narrative texts. Its name is CHAPLIN, CHAracters and PLaces Interaction Network, implemented in VB.NET. Characters and places of the narrative works are extracted in a list of raw words. Aided by the interface, the user selects names out of them. After this choice, the tool allows the user to enter some parameters, and, according to them, creates a network where the nodes are the characters and places, and the edges their interactions. Edges are labelled by performances. The output is a GV file, written in the DOT graph scripting language, which is rendered by means of the free open source software Graphviz.