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Narrativität visualisieren - Eine Rezeptionsstudie zur Evaluation der heuristischen Qualität von Narrativitätsgraphen

Authors: Hatzel, Hans Ole; Stiemer, Haimo; Biemann, Chris; Gius, Evelyn;

Narrativität visualisieren - Eine Rezeptionsstudie zur Evaluation der heuristischen Qualität von Narrativitätsgraphen

Abstract

Die visuelle Repräsentation von literarischen Phänomenen ist ein etablierter Ansatz in den Computational Literary Studies, um die aus Texten extrahierten Daten bzw. abgeleiteten Strukturen zu explorieren und zu interpretieren. Vor diesem Hintergrund soll das vorgeschlagene Poster die Ergebnisse einer Rezeptionsstudie präsentieren, mit der die heuristische Qualität von den im Projekt EvENT ("Evaluating Events in Narrative Theory") bislang generierten Narrativitätsgraphen überprüft wurde. Ziel der Studie war es daher, die Erkennbarkeit der den Graphen zugrunde liegenden Texte zu untersuchen, um hieraus Rückschlüsse für die Weiterentwicklung des EvENT-Ansatzes wie auch die Anwendbarkeit der Graphen für die literaturwissenschaftlich-hermeneutische Praxis zu ziehen.

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Keywords

Paper, Annotieren, narrativität, Modellierung, graphen, Programmierung, Interaktion, Literatur, interpretierbarkeit, Posterpräsentation, Metadaten, DHd2024, studie

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green