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1
Katharsis – A Tool for Computational Drametrics ...
Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : Universität Regensburg, 2019
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2
Distant Reading Sentiments and Emotions in Historic German Plays ...
Schmidt, Thomas. - : Universität Regensburg, 2019
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3
Annotator-Centered Design: Towards a Tool for Sentiment and Emotion Annotation
Schmidt, Thomas; Jakob, Marco; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2019
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4
Distant Reading Sentiments and Emotions in Historic German Plays
Schmidt, Thomas. - 2019
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5
Katharsis – A Tool for Computational Drametrics
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6
Inter-Rater Agreement and Usability: A Comparative Evaluation of Annotation Tools for Sentiment Annotation
Schmidt, Thomas; Winterl, Brigitte; Maul, Milena; Schark, Alina; Vlad, Andrea; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2019
Abstract: We present the results of a comparative evaluation study of five annotation tools with 50 participants in the context of sentiment and emotion annotation of literary texts. Ten participants per tool annotated 50 speeches of the play Emilia Galotti by G. E. Lessing. We evaluate the tools via standard usability and user experience questionnaires, by measuring the time needed for the annotation, and via semi-structured interviews. Based on the results we formulate a recommendation. In addition, we discuss and compare the usability metrics and methods to develop best practices for tool selection in similar contexts. Furthermore, we also highlight the relationship between inter-rater agreement and usability metrics as well as the effect of the chosen tool on annotation behavior.
Keyword: 004 Informatik; 020 Bibliotheks- und Informationswissenschaft; 150 Psychologie; 400 Sprachwissenschaft; 830 Deutsche Literatur; ddc:004; ddc:020; ddc:150; ddc:400; ddc:830; Linguistik
URL: https://epub.uni-regensburg.de/43575/1/Inter-Rater-Agreement.pdf
https://hdl.handle.net/20.500.12116/25044
https://dl.gi.de/handle/20.500.12116/25044
https://epub.uni-regensburg.de/43575/
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7
Sentiment Annotation for Lessing’s Plays: Towards a Language Resource for Sentiment Analysis on German Literary Texts
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