We present our ongoing effort on closing this gap by developing a literary analysis reporting tool <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">rCAT</hi> <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic"> <ref target="ftn3" n="3" /> </hi>, whose primary purpose is to provide an easy-to-use, stable, and reusable solution for automatic extraction of relational information from text and to characterize these relationships automatically to provide the user with deeper qualitative insight. We opt for implementation as a web-based reporting tool instead of an interactive tool for two reasons: (1) automatically generated reports in PDF format can serve as a stable foundation for discussion and can be reused in publications and visualizations easily, and (2) the results are clearly connected to the chosen input parameters such that reproducibility of results is ensured.