Cargando…
An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis
The coronavirus is an irresistible virus that generally influences the respiratory framework. It has an effective impact on the global economy specifically, on the financial movement of stock markets. Recently, an accurate stock market prediction has been of great interest to investors. A sudden cha...
Autores principales: | Sharaf, Marwa, Hemdan, Ezz El-Din, El-Sayed, Ayman, El-Bahnasawy, Nirmeen A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9702704/ https://www.ncbi.nlm.nih.gov/pubmed/36467438 http://dx.doi.org/10.1007/s11042-022-14216-w |
Ejemplares similares
-
EEG seizure detection: concepts, techniques, challenges, and future trends
por: Ein Shoka, Athar A., et al.
Publicado: (2023) -
LSTM-based sentiment analysis for stock price forecast
por: Ko, Ching-Ru, et al.
Publicado: (2021) -
CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
por: Hemdan, Ezz El-Din, et al.
Publicado: (2022) -
Integrating Digital Twins with IoT-Based Blockchain: Concept, Architecture, Challenges, and Future Scope
por: Hemdan, Ezz El-Din, et al.
Publicado: (2023) -
An efficient audio watermarking scheme with scrambled medical images for secure medical internet of things systems
por: Alshathri, Samah, et al.
Publicado: (2023)