Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63219-8_3
Reference35 articles.
1. Allen, D.E., McAleer, M., Singh, A.K.: Daily market news sentiment and stock prices. Appl. Econ. 51(30), 3212–3235 (2019)
2. Lu, W., Li, J., Wang, J., Qin, L.: A CNN-BiLSTM-AM method for stock price prediction. Neural Comput. Appl. 33, 4741–4753 (2021)
3. Li, X., Wu, P., Wang, W.: Incorporating stock prices and news sentiments for stock market prediction: a case of Hong Kong. Inf. Process. Manag. 57(5), 102212 (2020)
4. Sahut, J.M., Hajek, P., Olej, V., Hikkerova, L.: The role of news-based sentiment in forecasting crude oil price during the COVID-19 pandemic. Ann. Oper. Res., 1–24 (2024)
5. Hajek, P., Novotny, J., Kovarnik, J.: Predicting exchange rate with FinBERT-based sentiment analysis of online news. In: Proceedings of the 2022 6th International Conference on E-Business and Internet, pp. 133–138 (2022)
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