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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays Dennerlein, Katrin; Wolff, Christian; Schmidt, Thomas. - : Melusina Press, 2021 BASE Show details 2 Katharsis – A Tool for Computational Drametrics ... Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : Universität Regensburg, 2019 BASE Show details 3 Katharsis – A Tool for Computational Drametrics Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - 2019 BASE Show details 4 Sentiment Annotation for Lessing’s Plays: Towards a Language Resource for Sentiment Analysis on German Literary Texts Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : RWTH Aachen, 2019 BASE Show details 5 „Kann man denn auch nicht lachend sehr ernsthaft sein?" – Zum Einsatz von Sentiment Analyse-Verfahren für die quantitative Untersuchung von Lessings Dramen Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : Universitäts- und Stadtbibliothek Köln, 2018 BASE Show details 6 Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - 2018 Abstract: We present results of a sentiment annotation study in the context of historical German plays. Our annotation corpus consists of 200 representative speeches from the German playwright Gotthold Ephraim Lessing. Six annotators, five non-experts and one expert in the domain, annotated the speeches according to different sentiment annotation schemes. They had to annotate the differentiated polarity (very negative, negative, neutral, mixed, positive, very positive), the binary polarity (positive/negative) and the occurrence of eight basic emotions. After the annotation, the participants completed a questionnaire about their experience of the annotation process; additional feedback was gathered in a closing interview. Analysis of the annotations shows that the agreement among annotators ranges from low to mediocre. The non-expert annotators perceive the task as very challenging and report different problems in understanding the language and the context. Although fewer problems occur for the expert annotator, we cannot find any differences in the agreement levels among non-experts and between the expert and the non-experts. At the end of the paper, we discuss the implications of this study and future research plans for this area. Keyword: 004 Informatik; 430 Deutsch; 830 Deutsche Literatur; ddc:004; ddc:430; ddc:830 URL: https://epub.uni-regensburg.de/37486/ http://ceur-ws.org/Vol-2155/schmidt.pdf https://epub.uni-regensburg.de/37486/1/annDH18_after_Review_%2BExpertAnnotations_mb_v3.pdf BASE Hide details 7 Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - 2018 BASE Show details 8 Katharsis – Ein Werkzeug für die quantitative Dramenanalyse ... Burghardt, Manuel; Dennerlein, Katrin; Schmidt, Thomas. - : Universität Regensburg, 2016 BASE Show details 9 Katharsis – Ein Werkzeug für die quantitative Dramenanalyse Burghardt, Manuel; Dennerlein, Katrin; Schmidt, Thomas. - 2016 BASE Show details

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