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Contact and further information

Katharsis is a tool for the quantitative analysis of historic German plays with a sentiment analysis compenent specifically for Lessing's plays. If you have any questions please contact: thomas.schmidt@ur.de.

The following persons participated in the creation of Katharsis:
More information about the tool, the idea and the research background of Katharsis, quantitative drama analysis and sentiment analysis in plays can be found in the papers above.

Publications and citation information

If you use Katharsis for any research purposes please cite the following publication:

Schmidt, T., Burghardt, M., Dennerlein, K. & Wolff, C. (2019). Katharsis - A Tool for Computational Drametrics. In: Book of Abstracts, Digital Humanities Conference 2019 (DH 2019). Utrecht, Netherlands.

If you specifically use the sentiment analysis component for any research purpose please cite one of the following publication.

Schmidt, T. & Burghardt, M. (2018). An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing. In: Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (pp. 139-149). Santa Fe, New Mexico: Association for Computational Linguistics.

Schmidt, T. & Burghardt, M. (2018). Toward a Tool for Sentiment Analysis for German Historic Plays. In: Piotrowski, M. (ed.), COMHUM 2018: Book of Abstracts for the Workshop on Computational Methods in the Humanities 2018 (pp. 46-48). Lausanne, Switzerland: Laboratoire laussannois d'informatique et statistique textuelle

Schmidt, T., Burghardt, M. & Dennerlein, K. (2018). "Kann man denn auch nicht lachend sehr ernsthaft sein?" Zum Einsatz von Sentiment Analyse-Verfahren für die quantitative Untersuchung von Lessings Dramen. In Book of Abstracts, DHd 2018.

Corpus Information

The corpus used in Katharsis is mainly GerDracor (Fischer et al., 2019). This is a collection of TEI P5-encoded German-language plays from 1730 to the 1940s. Find more nformation on the official Github repository, where you can also download and use the corpus.

The corpus is licensed unter a Creative Commons Zero copyright waver.

Citation information for the corpus: Frank Fischer, Ingo Börner, Mathias Göbel, Angelika Hechtl, Christopher Kittel, Carsten Milling and Peer Trilcke (2019): Programmable Corpora. Die digitale Literaturwissenschaft zwischen Forschung und Infrastruktur am Beispiel von DraCor. DHd 2019. Digital Humanities: multimedial & multimodal. Konferenzabstracts, pp. 194–197. DOI: 10.5281/zenodo.2596094.

We also added a few selected plays directly from the platform TextGrid. Find out more about TextGrid here.