Author:
Sasubilli Sravani,Verma Mridula
Publisher
Springer Nature Switzerland
Reference26 articles.
1. Araci, D.: Finbert: Financial sentiment analysis with pre-trained language models. CoRR abs/ arXiv: 1908.10063 (2019)
2. Arslan, Y., et al.: A comparison of pre-trained language models for multi-class text classification in the financial domain. In: Companion Proceedings of the Web Conference 2021, WWW 2021, pp. 260–268. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3442442.3451375
3. Au, W., Ait-Azzi, A., Kang, J.: Finsbd-2021: The 3rd shared task on structure boundary detection in unstructured text in the financial domain. In: Companion Proceedings of the Web Conference 2021, pp. 276–279 (2021)
4. Barbaglia, L., Consoli, S., Wang, S.: Financial forecasting with word embeddings extracted from news: A preliminary analysis. In: Kamp, M., et al. (eds.) Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 179–188. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-93733-1_12
5. Chen, Q.: Stock movement prediction with financial news using contextualized embedding from bert. arXiv preprint arXiv:2107.08721 (2021)