FinBERT Fine-Tuning for Sentiment Analysis: Exploring the Effectiveness of Datasets and Hyperparameters
Jae Heon Kim, Hui Do Jung, Beakcheol Jang, Journal of Internet Computing and Services, Vol. 24, No. 4, pp. 127-135, Aug. 2023


Keywords: FinBERT, Financial Sentiment Analysis, Fine-Tuning hyperparameters
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Cite this article
[APA Style]
Kim, J., Jung, H., & Jang, B. (2023). FinBERT Fine-Tuning for Sentiment Analysis: Exploring the Effectiveness of Datasets and Hyperparameters. Journal of Internet Computing and Services, 24(4), 127-135. DOI: 10.7472/jksii.2023.24.4.127.
[IEEE Style]
J. H. Kim, H. D. Jung, B. Jang, "FinBERT Fine-Tuning for Sentiment Analysis: Exploring the Effectiveness of Datasets and Hyperparameters," Journal of Internet Computing and Services, vol. 24, no. 4, pp. 127-135, 2023. DOI: 10.7472/jksii.2023.24.4.127.
[ACM Style]
Jae Heon Kim, Hui Do Jung, and Beakcheol Jang. 2023. FinBERT Fine-Tuning for Sentiment Analysis: Exploring the Effectiveness of Datasets and Hyperparameters. Journal of Internet Computing and Services, 24, 4, (2023), 127-135. DOI: 10.7472/jksii.2023.24.4.127.