Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis-Reference-Cited by-同舟云学术

Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis

Published:2024 Issue: Volume:12 Page:87110-87130
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Peivandizadeh Ali¹^ORCID,Hatami Sima²,Nakhjavani Amirhossein³,Khoshsima Lida⁴,Reza Chalak Qazani Mohammad⁵^ORCID,Haleem Muhammad⁶^ORCID,Alizadehsani Roohallah⁷^ORCID

Affiliation:

1. University of Houston, Houston, TX, USA

2. Raja University, Qazvin, Iran

3. Computer Engineering-Software at Islamic Azad University of Mashhad, Mashhad, Iran

4. Department of Islamic Economics, Faculty of Social Sciences, Raja University, Qazvin, Iran

5. Faculty of Computing and Information Technology, Sohar University, Sohar, Oman

6. Department of Computer Science, Kardan University, Kabul, Afghanistan

7. Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10528270.pdf?arnumber=10528270

Reference68 articles.

1. The impact of the China Stock market on global financial markets during COVID-19

2. A Review of Sentiment, Semantic and Event-Extraction-Based Approaches in Stock Forecasting

3. Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis

4. A human-perception-inspired deep learning approach for intraday German market prediction/submitted by Christopher Wimmer;Wimmer,9943

5. Forecasting International Stock Market Trends: XGBoost, LSTM, LSTM-XGBoost, and Backtesting XGBoost Models