Published June 30, 2023
| Version v1
Conference paper
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Towards a Conflict Heuristic. Detecting Conflict in Literary Texts By Adapting Word Embedding Based Sentiment Analysis
Contributors
Data managers:
Hosting institution:
- 1. University of Graz
- 2. Belgrade Center for Digital Humanities
- 3. Le Mans Université
- 4. Digital Humanities im deutschsprachigen Raum
Description
To detect conflicts in literary texts, this short paper adapts word embedding based sentiment analysis for assigning conflict values to texts. This heuristic approach is able to output relevant verb phrases of a corpus of German novels from the Romantic period and indicate first trends in the corpus.
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H_USSLER_Julian_Towards_a_Conflict_Heuristic__Detecting_Conf.pdf
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Additional details
Related works
- Is part of
- Book: 10.5281/zenodo.7961822 (DOI)