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.
The corpus used for the sentiment analysis are all plays of Lessing from the plattform TextGrid. You can find more information about TextGrid
