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.
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News on QuaDramA
As of May 1st, we are happy to welcome Benjamin Krautter in our project. He is employed on the PhD position in literary studies and will be with us for the next three years. His research focus lies on stilometry and sentiment analysis of dramatic figures with respect to catharsis.
We are looking for candidates for a PhD position, to work in the interdisciplinary research project QuaDramA: Quantitative Drama Analytics, funded by Volkswagen Foundation and soon starting at University of Stuttgart.
Eingeladener Vortrag am 07.10.2016 im Kleist-Museum, Frankfurt (Oder), im Rahmen des wissenschaftlichen Kolloquiums während der Kleist-Festtage 2016. Wir untersuchen dramatische Figuren auf der Mikroebene und Gattungszuschreibungen auf der Makroebene.
Newest Tech post
So far, we loaded dramatic texts into R with the help of a web service that converted from UIMA XMI files into CoNLL-like CSV files. Now that we have released version 0.4.1 of our DramaAnalysis R package, this is no longer necessary. Instead, we have integrated the needed Java code directly into the R package. This makes, we hope, using the R package much easier.