A Transformer-Based Stock Market Price Prediction by Incorporating BERT Embedding
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2066-8_10
Reference22 articles.
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2. Balaji AJ, Ram DH, Nair BB (2018) Applicability of deep learning models for stock price forecasting an empirical study on bankex data. Proc Comput Sci 143:947–953
3. Bi J et al (2022) Stock market prediction based on financial news text mining and investor sentiment recognition. Math Probl Engin 2022
4. Dahal KR, Pokhrel NR, Gaire S, Mahatara S, Joshi RP, Gupta A, Banjade HR, Joshi J (2023) A comparative study on effect of news sentiment on stock price prediction with deep learning architecture. Plos one 18(4):e0284695
5. Devlin J, Chang MW, Lee K, Toutanova K (2019) BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, vol 1 (Long and short papers). Association for Computational Linguistics, Minneapolis, Minnesota, pp 4171–4186. https://doi.org/10.18653/v1/N19-1423. https://aclanthology.org/N19-1423
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