[HTML][HTML] Integrating sentiment analysis with graph neural networks for enhanced stock prediction: A comprehensive survey
There has been significant interest in integrating sentiment analysis with graph neural
networks (GNNs) for stock prediction tasks. This article thoroughly reviews the application of …
networks (GNNs) for stock prediction tasks. This article thoroughly reviews the application of …
Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions
This research proposes a novel method for enhancing the accuracy of stock price prediction
by combining ensemble empirical mode decomposition (EEMD), ensemble convolutional …
by combining ensemble empirical mode decomposition (EEMD), ensemble convolutional …
Developing Hybrid Deep Learning Models for Stock Price Prediction Using Enhanced Twitter Sentiment Score and Technical Indicators
N Das, B Sadhukhan, R Ghosh, S Chakrabarti - Computational Economics, 2024 - Springer
In recent years, there has been growing interest in using deep learning methods to improve
the accuracy of stock price prediction, which has always been challenging due to the …
the accuracy of stock price prediction, which has always been challenging due to the …
TICKER SYMBOL IDENTIFICATION WITH CIMA ON NON-STATIONARY STOCK PRICE DATASET
AG Putrada, M Abdurohman… - JITK (Jurnal Ilmu …, 2024 - ejournal.nusamandiri.ac.id
Ticker symbol identification based on stock price data in investor decisions has been proven
to be pivotal. Though research exists on stock price forecasting, ticker symbol identification …
to be pivotal. Though research exists on stock price forecasting, ticker symbol identification …
[PDF][PDF] Decision Analytics Journal
There has been significant interest in integrating sentiment analysis with graph neural
networks (GNNs) for stock prediction tasks. This article thoroughly reviews the application of …
networks (GNNs) for stock prediction tasks. This article thoroughly reviews the application of …