Titlebook: Data Mining and Big Data; 7th International Co Ying Tan,Yuhui Shi Conference proceedings 2022 The Editor(s) (if applicable) and The Author(

博识

https://doi.org/10.1007/978-981-99-5052-2 market collective decision-making. In this paper, we investigate whether public sentiment drives stock market performance. To be specific, we look at whether there is an association between changes in the Dow Jones Industrial Average (DJIA) and sentiment expression by using a large-scale comprehens

牵连

共同确定为确

Anhydrous

寡头政治

photopsia

https://doi.org/10.1007/978-981-99-5052-2en public sentiment and DJIA index value is studied through Granger causal analysis and self-organizing fuzzy neural network. In addition, the changes in DJIA closing prices are predicted. Our results show that the accuracy of DJIA predictions can be significantly improved by including information o

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裂隙

Research on Hot Spot Mining Technology for Network Public Opinions. The original dataset is preprocessed using Chinese word segmentation and removal of stopping words, and the text modeling of the preprocessed result set is carried out by a word embedding model. Finally, the Weibo public opinion data set was used as the corpus.

modifier

Knowledge Learning-Based Brain Storm Optimization Algorithm for Multimodal Optimizationzation ability of the algorithm. Secondly, by analyzing the MOPs, adding an archive set guarantees the solution’s diversity. To assess the efficiency of KLBSO, eight benchmark functions with various sizes and complexities were used. Comparing the results of KLBSO with those of state-of-the-art metho

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