Novel design of a sentiment based stock market index forecasting system
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00500-024-09956-w.pdf
Reference12 articles.
1. Chhajer P, Shah M, Kshirsagar A (2022) The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction. Decis Anal J 2:100015
2. Iyer M and Mehra R (2018) A survey on stock market prediction. In: PDGC 2018 - 2018 5th International Conference on Parallel, Distributed and Grid Computing, pp 663–668. https://doi.org/10.1109/PDGC.2018.8745715
3. Koukaras P, Nousi C, Tjortjis C (2022) Stock market prediction using microblogging sentiment analysis and machine learning. Telecom 3(2):358–378
4. Labiad B, Berrado A and Benabbou L (2016) Machine learning techniques for short term stock movements classification for Moroccan stock exchange. In: SITA 2016—11th International Conference on Intelligent Systems: Theories and Applications. https://doi.org/10.1109/SITA.2016.7772259
5. Labiad B, Berrado A and Benabbou L (2019) Intelligent system for intraday stock market forecasting. In: 2019 International Conference on Optimization and Applications, ICOA 2019. https://doi.org/10.1109/ICOA.2019.8727658
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