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Figurenemotionen in deutschsprachigen Dramen annotieren

Authors: Dennerlein, Katrin; Schmidt, Thomas; Wolff, Christian;

Figurenemotionen in deutschsprachigen Dramen annotieren

Abstract

Zusammenfassung Diese Richtlinien erläutern die Annotation von Emotionen im Projekt „Emotions in Drama“, im Folgenden auch kurz als EmoDrama bezeichnet. Dieses Projekt befasst sich der Erkennung von gemeinten Figurenemotionen und der Analyse von Emotionshäufigkeiten und -verteilungen in deutschsprachigen Dramen aus der Zeit von 1650-1815. Mehr Informationen zu diesem Projekt finden Sie auf unserer Homepage: https://emotionsindrama.github.io/ Abstract These guidelines explain emotion annotation rules for the Emotions in Drama project (DFG SPP CLS 21207/1). The project deals with characters’ intended emotions as well as with the frequency and distribution of emotions in German language drama from 1650 to 1815. More information on this project can be found on the project’s website: https://emotionsindrama.github.io/ Das Projekt wird von der Deutschen Forschungsgemeinschaft (DFG) für drei Jahre im Rahmen des Schwerpunktprogramms Computational Literary Studies (SPP 2207/1) gefördert https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Emotions_in_Drama/ (Projektnummer 424207618, Sachbeihilfen DE 2188/3-1 und WO 835/4-1). DFG Schwerpunktprogramm SPP 2207 "Computational Literary Studies" Online: https://gepris.dfg.de/gepris/projekt/402743989 https://dfg-spp-cls.github.io/ Teilprojekt: "Emotionen im Drama" Online: https://gepris.dfg.de/gepris/projekt/424207618 https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Emotions_in_Drama/

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Keywords

Annotation, Emotions, Emotionen, Literaturwissenschaft, Computational Literary Studies, Drama

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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