Computational emotion classification for genre corpora of German tragedies and comedies from 17th to early 19th century.
This article presents a method of emotion analysis for German drama from the 17th to the 19th century that significantly goes beyond previous research approaches in computational literary studies. It is based on annotations of 17 dramatic texts resulting in 11,939 annotations which were used as trai...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 4; pp. 1466 - 1482 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Oxford University Press / USA
Dec2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=174444631&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 174444631 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Dec2023 vid: 38 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 174444631 10.1093/llc/fqad046 ppf: 1466 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 466KB tig: atl: Computational emotion classification for genre corpora of German tragedies and comedies from 17th to early 19th century. aug: au: Dennerlein, Katrin Schmidt, Thomas Wolff, Christian affil: Institute for German Philology, University of Würzburg , Würzburg, Germany Media Informatics Group, University of Regensburg , Regensburg, Germany su: German language Nineteenth century Emotions Corpora Aversion sug: subj: German language Nineteenth century Emotions Corpora Aversion ab: This article presents a method of emotion analysis for German drama from the 17th to the 19th century that significantly goes beyond previous research approaches in computational literary studies. It is based on annotations of 17 dramatic texts resulting in 11,939 annotations which were used as training material to fine-tune a German language BERT model that achieves an average accuracy of 73% for the single-label emotion classification of fourteen emotion types in cross-validation. We apply the emotion classification on a corpus of 141 comedies and 92 tragedies to compare these genres. For tragedies, the mean proportion percentages of 'suffering' and 'abhorrence' are higher than for comedies. Inversely, mean percentages of 'anger' and 'joy' are higher for comedies than for tragedies. A new finding is the surprisingly high proportion of 'anger' in comedies. Emotion distribution of the last scenes in dramatic texts also proves the quality of the classified data in terms of literary studies. In addition, the emotion distribution for several subgenres of comedy is investigated including non-canonical works of wide circulation which reached the recipients directly through the depicted emotions in the Kasperl Plays. Comedies from 1740 to 1770 are characterized by a pairing of higher amounts of 'friendship' and 'love'. Satirical comedies from the same period stand out due to high rates of 'anger' as well as 'suffering'. The very successful Kasperl plays turn out to be characterized by a comparatively large percentage of 'schadenfreude' and 'joy'. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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