Abstract
Sentiment analysis in low-resource languages presents unique challenges that Large Language Models may help address. This study explores the efficacy of GPT-4 for sentiment analysis on Faroese news texts, an uncharted task for this language. On the basis of guidelines presented, the sentiment analysis was performed with a multi-class approach at the sentence and document level with 225 sentences analysed in 170 articles. When comparing GPT-4 to human annotators, we observe that GPT-4 performs remarkably well. We explored two prompt configurations and observed a benefit from having clear instructions for the sentiment analysis task, but no benefit from translating the articles to English before the sentiment analysis task. Our results indicate that GPT-4 can be considered as a valuable tool for generating Faroese test data. Furthermore, our investigation reveals the intricacy of news sentiment. This motivates a more nuanced approach going forward, and we suggest a multi-label approach for future research in this domain. We further explored the efficacy of GPT-4 in topic classification on news texts and observed more negative sentiments expressed in international than national news. Overall, this work demonstrates GPT-4’s proficiency on a novel task and its utility for augmenting resources in low-data languages.- Anthology ID:
- 2024.lrec-main.690
- Volume:
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
- Venues:
- LREC | COLING
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 7814–7824
- Language:
- URL:
- https://aclanthology.org/2024.lrec-main.690
- DOI:
- Cite (ACL):
- Iben Nyholm Debess, Annika Simonsen, and Hafsteinn Einarsson. 2024. Good or Bad News? Exploring GPT-4 for Sentiment Analysis for Faroese on a Public News Corpora. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 7814–7824, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- Good or Bad News? Exploring GPT-4 for Sentiment Analysis for Faroese on a Public News Corpora (Debess et al., LREC-COLING 2024)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2024.lrec-main.690.pdf