Building Character - Building a multimodal corpus with machine learning methods

Lisa Gollner

doi:10.5281/zenodo.20354101

May 23, 2026Open Access

Building Character - Building a multimodal corpus with machine learning methods

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Key Points

This research aims to apply machine learning techniques for creating a specialized corpus from satirical characters in a historical periodical.
Utilized machine learning methods for data collection
Focused on recurring satirical characters
Derived corpus from the historical periodical 'Die Bombe'
Establishment of a multimodal corpus comprising satirical characters
Enabled future analyses of character representation in historical contexts

Implication

Poster presents machine learning methods to collect a multimodal corpus of satirical characters from a historical periodical.

Abstract

This poster presents the application of machine learning methods for the collection of a multimodal specialised corpus, consisting of the recurring satirical characters in the historical periodical "Die Bombe" (provided by the ANNO-catalogue of the Austrian National Libary: https://anno.onb.ac.at/cgi-content/anno?aid=bom). It is being presented at the 5th Annual Conference of Computational Literary Studies, held at the University of Potsdam between the 28th till the 29th of May, 2026.

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Cite This Study

Lisa Gollner (2026) studied this question.

synapsesocial.com/papers/6a13e88c0e02ee3982d334b6 https://doi.org/10.5281/zenodo.20354101

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Building Character - Building a multimodal corpus with machine learning methods

Key Points

Implication

Abstract

Discussion

Cite This Study

Building Character - Building a multimodal corpus with machine learning methods

Key Points

Implication

Abstract

Discussion

Cite This Study

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