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The role of text-extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning

Citations

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  1. Namitha Yeldho & Dany Thomas & Vimal George Kurian & Chandralekha Arathy & Ajithakumari Vijayappan Nair Biju, 2025. "Are machine learning models effective in predicting emerging markets? Investigating the accuracy of predictions in emerging stock market indices," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(1), pages 839-904, February.
  2. Ren, Tingting & Li, Shaofang, 2025. "Stock market forecasting based on machine learning: The role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 666(C).
  3. Qing Liu & Hosung Son, 2025. "Text Sentiment Mining used for Constructing Investor Sentiment in Social Media: Survey and Recommendations," SAGE Open, , vol. 15(1), pages 21582440251, March.
  4. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
  5. Gong, Jue & Wang, Gang-Jin & Zhou, Yang & Xie, Chi, 2025. "Cross-market volatility forecasting with attention-based spatial–temporal graph convolutional networks," Journal of Empirical Finance, Elsevier, vol. 83(C).
  6. Liu, Yunqiang & Liu, Sha & Ye, Deping & Tang, Hong & Wang, Fang, 2022. "Dynamic impact of negative public sentiment on agricultural product prices during COVID-19," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  7. Fengting Mo & Shanshan Yan & Yinhao Xiao, 2025. "MoF: A Background-Aware Multi-source Fusion Financial Trend Forecasting Mechanism," Computational Economics, Springer;Society for Computational Economics, vol. 66(4), pages 3033-3062, October.
  8. Yang Gao & Chengjie Zhao & Bianxia Sun & Wandi Zhao, 2022. "Effects of investor sentiment on stock volatility: new evidences from multi-source data in China’s green stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
  9. Cai, Wenwu & Quan, Xiaofeng & Zhu, Zhenmei (Judy), 2023. "Rumors in the sky: Corporate rumors and stock price synchronicity," International Review of Financial Analysis, Elsevier, vol. 88(C).
  10. Xiaohong Shen & Gaoshan Wang & Yue Wang & Alfred Peris, 2021. "The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
  11. Lin, Yong & Wang, Renyu & Gong, Xingyue & Jia, Guozhu, 2022. "Cross-correlation and forecast impact of public attention on USD/CNY exchange rate: Evidence from Baidu Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
  12. Yue‐Jun Zhang & Yuan‐Yuan Zhang & Han Zhang & Zhuo Tang, 2026. "Forecasting Crude Oil Price Volatility With Analyst Commentary Sentiment: A Nonlinear Analysis Using Deep‐Learning Models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(1), pages 121-137, January.
  13. Cai, Yi & Tang, Zhenpeng & Chen, Ying, 2024. "Can real-time investor sentiment help predict the high-frequency stock returns? Evidence from a mixed-frequency-rolling decomposition forecasting method," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
  14. Luo, Rui & Liu, Jinpei & Chen, Peipei & Luo, Jian, 2025. "Enhancing carbon price robust forecasting: A text-driven method utilizing weighted interval-joint quadratic support vector regression," Energy Economics, Elsevier, vol. 148(C).
  15. Xiaohang Ren & Wenting Jiang & Qiang Ji & Pengxiang Zhai, 2024. "Seeing is believing: Forecasting crude oil price trend from the perspective of images," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2809-2821, November.
  16. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Yousaf, Imran & Kumar Tiwari, Aviral & Li, Yanshuang, 2024. "Economic sanctions sentiment and global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
  17. Shao, Jin & Hong, Jingke & Wang, Xianzhu & Yan, Xiaochen, 2023. "The relationship between social media sentiment and house prices in China: Evidence from text mining and wavelet analysis," Finance Research Letters, Elsevier, vol. 57(C).
  18. Zhongfei Li & Kai Gan & Shaolong Sun & Shouyang Wang, 2023. "A new PM2.5 concentration forecasting system based on AdaBoost‐ensemble system with deep learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 154-175, January.
  19. Qing Liu & Hosung Son, 2024. "Data selection and collection for constructing investor sentiment from social media," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
  20. Su, Miao & Nie, Yufei & Li, Jiankun & Yang, Lin & Kim, Woohyoung, 2024. "Futures markets and the baltic dry index: A prediction study based on deep learning," Research in International Business and Finance, Elsevier, vol. 71(C).
  21. Chopra, Ritika & Sharma, Gagan Deep & Pereira, Vijay, 2024. "Identifying Bulls and bears? A bibliometric review of applying artificial intelligence innovations for stock market prediction," Technovation, Elsevier, vol. 135(C).
  22. Bilal Ahmed Memon & Rabia Tahir & Hafiz Muhammad Naveed & Keyang Cheng, 2025. "Forecasting Gold and Platinum prices with an enhanced GRU model using multi-headed attention and skip connection," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(4), pages 891-910, December.
  23. Wei Liu & Yoshihisa Suzuki & Shuyi Du, 2024. "Forecasting the Stock Price of Listed Innovative SMEs Using Machine Learning Methods Based on Bayesian optimization: Evidence from China," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 2035-2068, May.
  24. Xu Gong & Keqin Guan & Qiyang Chen, 2022. "The role of textual analysis in oil futures price forecasting based on machine learning approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1987-2017, October.
  25. Yang, Qu & Yu, Yuanyuan & Dai, Dongsheng & He, Qian & Lin, Yu, 2024. "Can hybrid model improve the forecasting performance of stock price index amid COVID-19? Contextual evidence from the MEEMD-LSTM-MLP approach," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
  26. Bouteska, Ahmed & Cardillo, Giovanni & Harasheh, Murad, 2023. "Is it all about noise? Investor sentiment and risk nexus: evidence from China," Finance Research Letters, Elsevier, vol. 57(C).
  27. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).
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