Investigating Stock Prediction Using LSTM Networks and Sentiment Analysis of Tweets Under High Uncertainty: A Case Study of North American and European Banks-Reference-Cited by-同舟云学术

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Investigating Stock Prediction Using LSTM Networks and Sentiment Analysis of Tweets Under High Uncertainty: A Case Study of North American and European Banks

Published:2024 Issue: Volume:12 Page:122239-122248
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bacco Luca¹^ORCID,Petrosino Lorenzo²^ORCID,Arganese Domenico¹,Vollero Luca¹^ORCID,Papi Marco³,Merone Mario²^ORCID

Affiliation:

1. Department of Engineering, Research Unit of Computer Systems and Bioinformatics, University Campus Bio-Medico di Roma, Rome, Italy

2. Department of Engineering, Research Unit of Intelligent Health Technologies, Università Campus Bio-Medico di Roma, Rome, Italy

3. Department of Engineering, Research Unit of Automatic Control, Università Campus Bio-Medico di Roma, Rome, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10648688.pdf?arnumber=10648688

Reference41 articles.

1. Stock market one-day ahead movement prediction using disparate data sources

2. The hasty wisdom of the mob: How market sentiment predicts stock market behavior

3. Twitter as a tool for forecasting stock market movements: A short-window event study

4. Financial statement analysis and the prediction of stock returns

5. The Behavior of Stock-Market Prices

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