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    Structured Multi-Head Attention Stock Index Prediction Method Based Adaptive Public Opinion Sentiment Vector

    Cheng Zhao1, Zhe Peng2, Xuefeng Lan3, Yuefeng Cen4, Zuxin Wang5,*

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 1503-1523, 2024, DOI:10.32604/cmc.2024.039232

    Abstract The present study examines the impact of short-term public opinion sentiment on the secondary market, with a focus on the potential for such sentiment to cause dramatic stock price fluctuations and increase investment risk. The quantification of investment sentiment indicators and the persistent analysis of their impact has been a complex and significant area of research. In this paper, a structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector is proposed. The proposed method utilizes an innovative approach to transform numerous investor comments on social platforms over time into public opinion… More >

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