1. Deriu, J., Gonzenbach, M., Uzdilli, F., Lucchi, A., & Jaggi, M. (2017). Twitter Sentiment Analysis with CNNs and LSTMs. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (pp. 967–975).
2. Rhee, H., Lee, H., & Kim, J. (2018). Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model. Journal of Information Processing Systems, 14(1), 125–138.
3. An Emergency Decision Making Method for Different Situation Response Based on Game Theory and Prospect Theory
4. Prajapati, H. B. (2019). Predictive Analysis of Bitcoin Price Considering Social Sentiments. Journal of Computational and Theoretical Nanoscience, 16(1), 265–270.
5. Zhu, X., Zheng, W., Li, X., & Luo, J. (2019). A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. IEEE Access, 7, 11128–11136.