Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news
- DOI
- 10.3389/frai.2026.1844418
- Published
- 2026-09-18
- Container
- Frontiers in Artificial Intelligence
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1844418,
title = {Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news},
author = {Nishan Chatterjee and Boshko Koloski and Antoine Doucet and Senja Pollak and Matthew Purver},
year = {2026},
journal = {Frontiers in Artificial Intelligence},
doi = {10.3389/frai.2026.1844418},
url = {https://doi.org/10.3389/frai.2026.1844418}
}RIS
TY - JOUR TI - Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news AU - Nishan Chatterjee AU - Boshko Koloski AU - Antoine Doucet AU - Senja Pollak AU - Matthew Purver PY - 2026 JO - Frontiers in Artificial Intelligence DO - 10.3389/frai.2026.1844418 UR - https://doi.org/10.3389/frai.2026.1844418 ER -
APA
Chatterjee, N., Koloski, B., Doucet, A., Pollak, S., & Purver, M. (2026). Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1844418
Source records
- crossref · retrieved 2026-11-09T23:29:20.965Z