Digital Humanities Projects
| Time | Project | Description |
|---|---|---|
| Since Sep. 2024 | Project Lead of “US-American Dime Novels: Segmentation, Gender Stereotypes, and Domestic Space” at Stanford Literary Lab |
Manual annotation of scenes and automation of scene segmentation of US-American romance novels from the Harlequin series "Men Made in America" (1982–2002), analysis of gender stereotypes in comparative scene segments related to domestic space in 20th-century US-American romance fiction, coordination and supervision of student annotators, evaluation of annotations and data quality assessment, automation of the annotation using machine learning methods trained on gold annotations (keras English BERT (2023)):
|
| Sep. 2019 – Jul. 2024 | Ph.D. Project “Raise Your Voice” |
Definition of “fictional sound and loudness” as narrative phenomena in literary studies, development of a taxonomy system for fictional sounds and guidelines for the annotation of sound events and loudness levels in 19th-century German-language fiction, coordination and supervision of student annotators, evaluation of annotations and data quality assessment, automation of the annotation using machine learning methods trained on gold annotations (German BERT model (Chan et al. 2020)) combined with a dictionary approach, diachronic analysis of sound and loudness on the 1.227 literary prose texts corpus “theme-d-Prose” (Guhr 2024):
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| Sep. 2022 – May 2025 | Project Member of “Modeling Domestic Space in 19th-Century British Fiction” |
Development of guidelines for the annotation of domestic space in 19th-century British fiction,
evaluation of annotations, and automation of the annotation process using machine learning methods trained on gold annotations (BERT model (Devlin et al. 2019)):
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| Aug. 2022 – Jul. 2023 | Project Lead of “Sound and Suspense” |
Development of guidelines for the annotation of ambient sounds in 19th-century British fiction,
coordination and supervision of student annotators, evaluation of annotations, automation of the annotation process using machine learning methods trained on gold annotations:
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| Mar. 2020 – May 2022 | Project Member of “Scene Segmentation” and Organization Support of KONVENS Shared Task STSS |
Shared task organization, development, editing, and evaluation of guidelines for narrative scene segmentation, coordination and supervision of student annotators, gold annotation generation, communication with the project’s data scientists, evaluation and error analysis of automated scene segmentations:
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| Nov. 2019 – Aug. 2022 | Project Member and Shared Task Organization “Narrative Levels (SANTA)” |
Shared task organization, editing, evaluation of guidelines for annotating narrative levels and its automation experimenting with text generation models:
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| Nov. 2017 – Jul. 2019 | M.A. Project “Sentiment Analysis of User Comments in French Online Forums” |
Manual and automated sentiment annotation and analysis of user comments in French online forums to newspaper articles from Le Monde and Le Figaro in the context of the 2017 presidential elections, social media text mining, linguistic annotation of part of speeches, lemmatization, named-entity recognition, sentiment dictionary creation, dictionary-based sentiment annotation and evaluation, ethical preparation of the study considering privacy by design:
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