A novel sentiment correlation-based method with dual transformer model for stock price prediction

No abstract is available for this paper.

• Publication year

  2025

• Venue

  International Journal of Data Science and Analysis

• Publication date

  2025-12-02

• Fields of study

  Business, Computer Science

• Identifiers
  DOI 10.1007/s41060-025-00932-7
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Explore the Use of Prompt-Based LLM for Credit Risk Classification

  2025cited by this paper
• Transformer-Based Models for Probabilistic Time Series Forecasting with Explanatory Variables

  2025cited by this paper
• Comparing Different Transformer Model Structures for Stock Prediction

  2025cited by this paper
• Sentiment analysis for stock market research: A bibliometric study

  2025cited by this paper
• Enhancing stock price prediction using GANs and transformer-based attention mechanisms

  2024cited by this paper
• Analyzing the critical steps in deep learning-based stock forecasting: a literature review

  2024cited by this paper
• Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlines

  2024cited by this paper
• Stock Price Prediction with Sentiment Analysis for Chinese Market

  2024cited by this paper
• Deep-learning-based stock market prediction incorporating ESG sentiment and technical indicators

  2024cited by this paper
• News-driven stock market index prediction based on trellis network and sentiment attention mechanism

  2024cited by this paper
• Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions

  2024cited by this paper
• Sentiment trading with large language models

  2024influential reference
• Stock Market Prediction Using Social Media Sentiments

  2024cited by this paper
• Stock Price Prediction Using LLM-Based Sentiment Analysis

  2024cited by this paper
• Galformer: a transformer with generative decoding and a hybrid loss function for multi-step stock market index prediction

  2024cited by this paper
• Stock market prediction based on deep hybrid RNN model and sentiment analysis

  2023cited by this paper
• Stock Prediction by Integrating Sentiment Scores of Financial News and MLP-Regressor: A Machine Learning Approach

  2023cited by this paper
• Stock trend prediction using sentiment analysis

  2023cited by this paper
• A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning

  2023cited by this paper
• Stock and market index prediction using Informer network

  2023cited by this paper
• Support for Stock Trend Prediction Using Transformers and Sentiment Analysis

  2023cited by this paper
• MASTER: Market-Guided Stock Transformer for Stock Price Forecasting

  2023cited by this paper
• Transformers in Time Series: A Survey

  2022cited by this paper
• Using Market News Sentiment Analysis for Stock Market Prediction

  2022cited by this paper
• Stock Market Prediction Using Recurrent Neural Network

  2022cited by this paper
• A Hybrid Framework Using PCA, EMD and LSTM Methods for Stock Market Price Prediction with Sentiment Analysis

  2022cited by this paper
• Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition

  2022cited by this paper
• Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

  2021cited by this paper
• Prediction of Stock Market Using Recurrent Neural Network

  2021cited by this paper
• Sentiment correlation in financial news networks and associated market movements

  2021cited by this paper
• Harvesting social media sentiment analysis to enhance stock market prediction using deep learning

  2021cited by this paper
• Predicting Stock Movement Using Sentiment Analysis of Twitter Feed with Neural Networks

  2020cited by this paper
• Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

  2020cited by this paper
• Stock Market Prediction Using LSTM Recurrent Neural Network

  2020cited by this paper
• Apple

  2020cited by this paper
• Stock Price Prediction Using News Sentiment Analysis

  2019cited by this paper
• Optuna: A Next-generation Hyperparameter Optimization Framework

  2019cited by this paper
• N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

  2019cited by this paper
• Integrating StockTwits with sentiment analysis for better prediction of stock price movement

  2018cited by this paper
• Stock Prediction Using Convolutional Neural Network

  2018cited by this paper
• Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis

  2017influential reference
• A Unified Approach to Interpreting Model Predictions

  2017cited by this paper
• Topic Modeling based Sentiment Analysis on Social Media for Stock Market Prediction

  2015cited by this paper
• News impact on stock price return via sentiment analysis

  2014cited by this paper
• Publisher's Note

  2003cited by this paper
• Stock Price Change Prediction Using Prompt-Based LLMs with RL-Enhanced Post-Hoc Adjustments

  year unknowncited by this paper

• Sentiment-Aware Stock Price Prediction with Transformer and LLM-Generated Formulaic Alpha

  2025influential citation
• Sentiment-Aware Mean-Variance Portfolio Optimization for Cryptocurrencies

  2025cites this paper
• Adaptive Alpha Weighting with PPO: Enhancing Prompt-Based LLM-Generated Alphas in Quant Trading

  2025cites this paper
• A Framework for Measuring How News Topics Drive Stock Movement

  2025cites this paper
• Explore Anomaly-Aware Transformers for Robust Financial Time Series Forecasting

  2025cites this paper
• Multi-Agent LLM Framework for Formulaic Alpha Generation and Selection in Quantitative Trading

  2025cites this paper
• Stock Price Forecasting with Sentiment of Related Entities Via Graph-Based Community Detection

  2025influential citation