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Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays

URN to cite this document:
urn:nbn:de:bvb:355-epub-508273
Schmidt, Thomas ; Dennerlein, Katrin ; Wolff, Christian
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Date of publication of this fulltext: 21 Oct 2021 06:45


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 ...

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