Stock Price Prediction Using a Multivariate Multistep LSTM: A Sentiment and Public Engagement Analysis Model-Reference-Cited by-同舟云学术

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Stock Price Prediction Using a Multivariate Multistep LSTM: A Sentiment and Public Engagement Analysis Model

Published:2021-04-21 Issue: Volume: Page:
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Container-title:2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
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Author:

Aasi Bipin,Imtiaz Syeda Aniqa,Qadeer Hamzah Arif,Singarajah Magdalean,Kashef Rasha

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9422411/9422480/09422526.pdf?arnumber=9422526

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forecasting relative returns for S&P 500 stocks using machine learning;Financial Innovation;2024-04-20

2. Research on Jacket Digital Twin Prediction Technology Based on LSTM;2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA);2023-08-11

3. Comparative Analysis of Deep Learning Approaches for Analysis and Prediction of Multivariate Time Series Data;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24

4. An Aggregator Framework for Transforming Big Data in Real-Time using PT-INDRNN;International Journal of Engineering and Advanced Technology;2023-06-30

5. Forecasting The Price of the Flight Tickets using A Novel Hybrid Learning model;2023 IEEE World AI IoT Congress (AIIoT);2023-06-07

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