QuaDramA – Quantitative Drama Analytics – is a research project that we currently conduct at the Universities of Stuttgart and Heidelberg. In the first phase of our project (2017-2020) we developed new methods to analyse dramatic texts and investigated drama-historic developments using these new methods. In the second phase (2020-2023, Q:TRACK) we dedicate ourselves to track character knowledge about social relations within the dramatic world, focusing the automatic identification and formal modeling of this knowledge. The core idea of QuaDramA is the complementation of analysing structural information (e.g., acts and scenes) with an NLP-supported analysis of the character speech.
In November 2021, QuaDramA will present work at two different events:
On October 5th the second project phase of QuaDramA has started under the name Q:Track. Supported by the DFG priority program Computational Literary Studies, we will focus our research on the character knowledge of social relations in dramatic worlds. “We” is our previous team and our new team member Melanie Andresen. Four hours were enough to distribute tasks for 3 years (at least!).
- Work packages distributed - check!
- First text selection - check!
- Cooperation partners - check!
- Worsphop planning - check!
- Special issue planning - check!
- Group photo with mask - Oh crap…
As of August 1st, our team includes a new member: Melanie Andresen joins the computational linguistics part of QuaDramA/Q:TRACK as a Post-Doc for three years. Her research focuses on corpus linguistics and the use of syntactic annotations.