Stock prediction analysis by customers opinion in Twitter data using an optimized intelligent model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-022-00979-5.pdf
Reference34 articles.
1. Abdul Sattar K, Obeidat Q, Akour M (2020) Towards harnessing based learning algorithms for tweets sentiment analysis. 2020 International conference on innovation and intelligence for informatics, computing and technologies (3ICT), IEEE https://doi.org/10.1109/3ICT51146.2020.9311990
2. Balaji SN, Paul PV, Saravanan R (2017) Survey on sentiment analysis based stock prediction using big data analytics. 2017 Innovations in power and advanced computing technologies (i-PACT), pp. 1–5 https://doi.org/10.1109/IPACT.2017.8244943
3. Bustos O, Pomares-Quimbaya A (2020) Stock market movement forecast: a systematic review. Expert Syst Appl 156:113464. https://doi.org/10.1016/j.eswa.2020.113464
4. Cavalcante RC, Brasileiro RC, Souza VLF et al (2016) Computational intelligence and financial markets: a survey and future directions. Expert Syst Appl 55:194–211. https://doi.org/10.1016/j.eswa.2016.02.006
5. Chen W, Zhang H, Mehlawat MK, Jia L (2021) Mean–variance portfolio optimization using machine learning-based stock price prediction. Appl Soft Comput 100:106943. https://doi.org/10.1016/j.asoc.2020.106943
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