Automated Emotion Annotation of Finnish Parliamentary Speeches Using GPT-4
Otto Tarkka, Jaakko Koljonen, Markus Korhonen, Juuso Laine, Kristian Martiskainen, Kimmo Elo, Veronika Laippala
Abstract
In this paper, we test the efficacy of using GPT-4 to annotate a dataset that is the used to train a BERT classifier for emotion analysis. Manual data annotation is often a laborious and expensive task and emotion annotation, specifically, has proved difficult even for expert annotators. We show that using GPT-4 can produce equally good results as doing data annotation manually while saving a lot of time and money. We train a BERT classifier on our automatically annotated dataset and get results that outperform a BERT classifier that is trained on machine translated data. Our paper shows how Large Language Models can be used to work with and analyse parliamentary corpora.- Anthology ID:
- 2024.parlaclarin-1.11
- Volume:
- Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Darja Fiser, Maria Eskevich, David Bordon
- Venues:
- ParlaCLARIN | WS
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 70–76
- Language:
- URL:
- https://aclanthology.org/2024.parlaclarin-1.11
- DOI:
- Cite (ACL):
- Otto Tarkka, Jaakko Koljonen, Markus Korhonen, Juuso Laine, Kristian Martiskainen, Kimmo Elo, and Veronika Laippala. 2024. Automated Emotion Annotation of Finnish Parliamentary Speeches Using GPT-4. In Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024, pages 70–76, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- Automated Emotion Annotation of Finnish Parliamentary Speeches Using GPT-4 (Tarkka et al., ParlaCLARIN-WS 2024)
- PDF:
- https://preview.aclanthology.org/landing_page/2024.parlaclarin-1.11.pdf