German Aspect-based Sentiment Analysis in the Wild: B2B Dataset Creation and Cross-Domain Evaluation

Jakob Fehle, Niklas Donhauser, Udo Kruschwitz, Nils Constantin Hellwig, Christian Wolff


Anthology ID:
2025.konvens-1.19
Volume:
Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers
Month:
September
Year:
2025
Address:
Hannover, Germany
Editors:
Christian Wartena, Ulrich Heid
Venue:
KONVENS
SIG:
Publisher:
HsH Applied Academics
Note:
Pages:
213–227
Language:
URL:
https://preview.aclanthology.org/corrections-2025-09/2025.konvens-1.19/
DOI:
Bibkey:
Cite (ACL):
Jakob Fehle, Niklas Donhauser, Udo Kruschwitz, Nils Constantin Hellwig, and Christian Wolff. 2025. German Aspect-based Sentiment Analysis in the Wild: B2B Dataset Creation and Cross-Domain Evaluation. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers, pages 213–227, Hannover, Germany. HsH Applied Academics.
Cite (Informal):
German Aspect-based Sentiment Analysis in the Wild: B2B Dataset Creation and Cross-Domain Evaluation (Fehle et al., KONVENS 2025)
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PDF:
https://preview.aclanthology.org/corrections-2025-09/2025.konvens-1.19.pdf