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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 Page: 1 2 Hits 1 – 20 of 24 1 Towards a Corpus of Historical German Plays with Emotion Annotations ... Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Universität Regensburg, 2021 BASE Show details 2 Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own ... Schmidt, Thomas; Grünler, Johanna; Schönwerth, Nicole. - : Universität Regensburg, 2021 BASE Show details 3 Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own Schmidt, Thomas; Grünler, Johanna; Schönwerth, Nicole. - 2021 BASE Show details 4 Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays Dennerlein, Katrin; Wolff, Christian; Schmidt, Thomas. - : Melusina Press, 2021 Abstract: We present first results of the project “Emotions in Drama” in which we explore the annotation of emotions and the application of computational emotion analysis, predominantly deep learning-based methods, in the context of historical German plays of the time around 1800. We performed a pilot annotation study with five plays generating over 6,500 annotations for up to 13 sub-emotions structured in a hierarchical scheme. This emotion scheme includes common types like joy, anger or hate but also concepts that are specifically important for German literary criticism of this period like friendship, compassion or Schadenfreude. We evaluate the performance of various methods of emotion-based text sequence classification including lexicon-based methods, traditional machine learning, fastText as static word embedding, various transformer models based on BERT- or ELECTRA-architectures and pretrained with contemporary language, transformer-based methods pretrained or finetuned for historical and/or poetic language as well as the finetuning of BERT models via our own corpora and plays. We do achieve state-of-the-art results with hierarchical levels with two or three classes, i. e. the classification of valence (positive/negative). The best models are the transformer-based models gbert-large and gelectra-large by deepset pretrained on large corpora of contemporary German, which achieve accuracy values of up to 83%. Lexicon-based methods, traditional machine learning as well as static word embeddings are consistently outperformed by transformer-based models. Models trained on historical texts show small and inconsistent improvements. The performance becomes significantly smaller for settings with multiple sub-emotions like 6 or 13 due to the general challenge and class imbalances in which the models achieve 57% and 47% respectively. We discuss how we intend to continue our annotations and how to improve the prediction results via various optimization techniques in future work. Keyword: 004 Informatik; 400 Sprachwissenschaft; 430 Deutsch; 792 Theater; 800 Literatur; 830 Deutsche Literatur; ddc:004; ddc:400; ddc:430; ddc:792; ddc:800; ddc:830; Linguistik; Literaturwissenschaft; Rhetorik; Tanz URL: https://epub.uni-regensburg.de/50827/ https://epub.uni-regensburg.de/50827/1/vDhd-Beitrag-Schmidt-UsingDeepLearning.pdf https://epub.uni-regensburg.de/50827/7/vDhd-Beitrag-Schmidt-UsingDeepLearning-PublishedVersion_workingLinks.pdf https://www.melusinapress.lu/read/10-26298-melusina-8f8w-y749-udlf/section/8d0fefff-384c-4798-b5d7-032809de2430 BASE Hide details 5 Towards a Corpus of Historical German Plays with Emotion Annotations Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Schloss Dagstuhl — Leibniz-Zentrum für Informatik, 2021 BASE Show details 6 Der Einsatz von Distant Reading auf einem Korpus deutschsprachiger Songtexte Schmidt, Thomas; Bauer, Marlene; Habler, Florian. - 2020 BASE Show details 7 Katharsis – A Tool for Computational Drametrics ... Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : Universität Regensburg, 2019 BASE Show details 8 Distant Reading Sentiments and Emotions in Historic German Plays ... Schmidt, Thomas. - : Universität Regensburg, 2019 BASE Show details 9 Annotator-Centered Design: Towards a Tool for Sentiment and Emotion Annotation Schmidt, Thomas; Jakob, Marco; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2019 BASE Show details 10 Distant Reading Sentiments and Emotions in Historic German Plays Schmidt, Thomas. - 2019 BASE Show details 11 Katharsis – A Tool for Computational Drametrics Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - 2019 BASE Show details 12 Inter-Rater Agreement and Usability: A Comparative Evaluation of Annotation Tools for Sentiment Annotation Schmidt, Thomas; Winterl, Brigitte; Maul, Milena. - : Gesellschaft für Informatik e.V., 2019 BASE Show details 13 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 14 An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing ... Schmidt, Thomas; Burghardt, Manuel. - : Universität Regensburg, 2018 BASE Show details 15 An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing ... Schmidt, Thomas; Burghardt, Manuel. - : Universität Regensburg, 2018 BASE Show details 16 An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing Schmidt, Thomas; Burghardt, Manuel. - 2018 BASE Show details 17 An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing Schmidt, Thomas; Burghardt, Manuel. - 2018 BASE Show details 18 An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing Schmidt, Thomas; Burghardt, Manuel. - : Association for Computational Linguistics, 2018 BASE Show details 19 „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 20 Herausforderungen für Sentiment Analysis-Verfahren bei literarischen Texten Schmidt, Thomas; Burghardt, Manuel; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2018 BASE Show details Page: 1 2

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