Stock Market Forecasting Using Sentiment Analysis and Deep Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9888-1_48
Reference18 articles.
1. Huang W, Nakamori Y, Wang SY (2005) Forecasting stock market movement direction with support vector machine. Comput Oper Res 32(10):2513–2522. https://doi.org/10.1016/j.cor.2004.03.016
2. Khaidem L, Saha S, Dey SR (2016) Predicting the direction of stock market prices using random forest, 1–20 [Online]. Available: http://arxiv.org/abs/1605.00003
3. Hiransha M, Gopalakrishnan EA, Menon VK, Soman KP (2018) NSE stock market prediction using deep-learning models. Procedia Comput Sci 132:1351–1362. https://doi.org/10.1016/j.procs.2018.05.050
4. Pathak A, Shetty NP (2019) Indian stock market prediction using machine learning and sentiment analysis, vol 711. Springer, Singapore
5. Rao D, Deng F, Jiang Z, Zhao G (2015) Qualitative stock market predicting with common knowledge based nature language processing: A unified view and procedure. Proc—2015 7th Int Conf Intell Human-Machine Syst Cybern. IHMSC, vol 2, pp 381–384. https://doi.org/10.1109/IHMSC.2015.114
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