QuaDramA – Quantitative Drama Analytics – is a research project we currently conduct at Stuttgart University. The aim of the project is the development of new methods to analyse dramatic texts and the investigation of drama-historic developments using these new methods. The core idea of QuaDramA is the complementation of analysing structural information (e.g., acts and scenes) with an NLP-supported analysis of the figure speech.
You can find newest posts below and older ones via the sidebar.
Once again, QuaDramA is present at the DHd, held in Mainz and Frankfurt. Benjamin Krautter and Janis Pagel will present work on the classification of eponymous characters. The talk will take place at a session with the title Analyse bei Dramen und Romanen (Analysis on dramas and novels), on Thursday, March 28, at 9 a.m. to 10.30 a.m.
We are happy to announce that we will give a tutorial on quantitative drama analysis as part of the 2nd Heidelberg Computational Humanities Summer School. The tutorial will take place on Monday afternoon (July 15) and is held by the entire QuaDramA team. We will give a brief introduction into R and RStudio, but the main part will be a hands-on session using tools we develop(ed) within our project.
This post will be updated with material, slides etc.
In a recent paper (text in German), we investigated how protagonists and title figures can be detected in German plays and which features are important for a machine learning model in order to conduct the classification. This post can be seen as a supplement to this paper.