Titlebook: Data Mining and Big Data; 8th International Co Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The Author(

冰雹

https://doi.org/10.1007/978-3-540-24711-1rging force in artificial intelligence, ChatGPT provides new ideas for the combination of the financial industry and artificial intelligence. This paper focuses on whether it is feasible to apply ChatGPT to analyze text sentiment in financial markets. We collected three types of financial texts from

吞吞吐吐

Alcove

Comments on P. G. Hare and D. T. Ulph fail to fully utilize historical combination information between features. Moreover, when faced with ultra-high dimensional data, they often lack the necessary decision-making ability to select a suitable optimization direction. In this paper, we propose a double layer-reinforcement learning framew

羽毛長成

Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/262917.jpg

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Comparison of Prediction Methods on Large-Scale and Long-Term Online Live Streaming Datal exhibits outstanding accuracy and precision in predicting daily viewer counts when incorporating pertinent features. In the domain of large-scale and long-term live streaming data prediction, machine learning approaches surpass traditional time series forecasting methods. Moreover, our analysis un

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A Unified Recombination and?Adversarial Framework for?Machine Reading Comprehensionle these issues in a single model. First, we introduce the recombination layer to recombine candidates, which converts all types of questions into the same form. Next, to enrich the information contained by the representations of candidates, we design the encoding and the fusion layers to achieve th

上腭

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Cross-Language Text Search Algorithm Based on Context-Compatible Algorithmso-frequency analogue sentence relationship. Based on the context compatibility algorithm to study on the cross-lingual text searching, we designed the preliminary experiment and carried it out with some distinction effect.