Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations
Patrick John Ramos, Kiki Ferawati, Kongmeng Liew, Eiji Aramaki, Shoko Wakamiya
Abstract
Public opinion in social media is increasingly becoming a critical factor in pandemic control. Understanding the emotions of a population towards vaccinations and COVID-19 may be valuable in convincing members to become vaccinated. We investigated the emotions of Japanese Twitter users towards Tweets related to COVID-19 vaccination. Using the WRIME dataset, which provides emotion ratings for Japanese Tweets sourced from writers (Tweet posters) and readers, we fine-tuned a BERT model to predict levels of emotional intensity. This model achieved a training accuracy of MSE = 0.356. A separate dataset of 20,254 Japanese Tweets containing COVID-19 vaccine-related keywords was also collected, on which the fine-tuned BERT was used to perform emotion analysis. Afterwards, a correlation analysis between the extracted emotions and a set of vaccination measures in Japan was conducted.The results revealed that surprise and fear were the most intense emotions predicted by the model for writers and readers, respectively, on the vaccine-related Tweet dataset. The correlation analysis also showed that vaccinations were weakly positively correlated with predicted levels of writer joy, writer/reader anticipation, and writer/reader trust.- Anthology ID:
- 2022.wassa-1.10
- Volume:
- Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Editors:
- Jeremy Barnes, Orphée De Clercq, Valentin Barriere, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, Alexandra Balahur
- Venue:
- WASSA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 95–103
- Language:
- URL:
- https://aclanthology.org/2022.wassa-1.10
- DOI:
- 10.18653/v1/2022.wassa-1.10
- Cite (ACL):
- Patrick John Ramos, Kiki Ferawati, Kongmeng Liew, Eiji Aramaki, and Shoko Wakamiya. 2022. Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations. In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, pages 95–103, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations (Ramos et al., WASSA 2022)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2022.wassa-1.10.pdf
- Code
- patrickjohnramos/bert-japan-vaccination