Stock market trend forecasting based on multiple textual features: A deep learning method

Stock market trend forecasting based on multiple textual features: A deep learning method

Stock market trend forecasting is a valuable and challenging research task for both industry and academia. In order to explore the influence of stock news information on the stock market trend, a textual embedding construction method is proposed to encode multiple textual features, including topic f...

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書目詳細資料
Main Authors:	HU, Zhenda, WANG, Zhaoxia, HO, Seng-Beng, TAN, Ah-Hwee
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2021
主題:	stock market trend forecasting textual features deep learning sentiment analysis Artificial Intelligence and Robotics Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/6882 https://ink.library.smu.edu.sg/context/sis_research/article/7885/viewcontent/ICTAI_Stock_Market_Trend_Forecasting_Based_on_MultipleTextual_Features_A_Deep_Learning_Method_Final_Version.pdf
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