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

The investigation focused on the prediction of stock prices amidst significant macroeconomic and geopolitical volatility, particularly targeting North-American and European banks in 2022 — a year marked by intense economic shocks, including inflation, geopolitical tensions, and supply chain d...

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Detalles Bibliográficos

Principais autores:	Luca Bacco, Lorenzo Petrosino, Domenico Arganese, Luca Vollero, Marco Papi, Mario Merone
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	Artificial intelligence natural language processing sentiment analysis stock price forecasting time series
Acceso en liña:	https://ieeexplore.ieee.org/document/10648688/
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