Schmidt, Thomas and Burghardt, Manuel 
(2018)
Toward a Tool for Sentiment Analysis for German Historic Plays.
In: Piotrowski, Michael, (ed.)
COMHUM 2018: Book of Abstracts for the Workshop on Computational Methods in the Humanities 2018.
Laboratoire laussannois d'informatique et statistique textuelle, Lausanne, Switzerland, pp. 46-48.
![[img]](https://epub.uni-regensburg.de/style/images/fileicons/application_pdf.png) | License: Creative Commons Attribution 4.0 PDF - Accepted Version Download (486kB) |
Other URL: https://zenodo.org/record/1312779
Abstract
We present a project in which we investigate the chances of sentiment analysis in the context of German historic plays, more concretely eleven plays by G.E. Lessing. We evaluated several lexicon-based sentiment analysis techniques against a gold standard of 200 speeches that were manually annotated with sentiment information in an annotation study. The combination of methods with the best ...
Export bibliographical data
| Item type: | Book section | ||||
|---|---|---|---|---|---|
| Date: | 4 June 2018 | ||||
| Institutions: | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik | ||||
| Identification Number: |
| ||||
| Related URLs: |
| ||||
| Keywords: | sentiment analysis, opinion Mining, computational literary studies, digital humanities, distant reading, Lessing, literary studies | ||||
| Dewey Decimal Classification: | 000 Computer science, information & general works > 004 Computer science 400 Language > 400 Language, Linguistics 400 Language > 430 Germanic 800 Literature > 830 Literatures of Germanic languages | ||||
| Status: | Published | ||||
| Refereed: | Yes, this version has been refereed | ||||
| Created at the University of Regensburg: | Partially | ||||
| Item ID: | 37575 |
Download Statistics