[1]XIAO Jing,WANG Lei,YANG Yujiu,et al.A systematic review of perceptual cognitive technology and its application in the field of financial risk early warning[J].CAAI Transactions on Intelligent Systems,2021,16(5):941-961.[doi:10.11992/tis.202107027]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
16
Number of periods:
2021 5
Page number:
941-961
Column:
吴文俊人工智能科技进步奖一等奖
Public date:
2021-09-05
- Title:
-
A systematic review of perceptual cognitive technology and its application in the field of financial risk early warning
- Author(s):
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XIAO Jing1; WANG Lei1; YANG Yujiu2; LI Na1; ZHAO Mengmeng1; CHEN Youxin1; TAN Tao1
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1. Ping’An Technology (Shenzhen) Co., Ltd., Shenzhen 518029, China;
2. Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
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- Keywords:
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financial risk pre-warning; image processing algorithm; natural language processing algorithms; knowledge graph; financial risk pre-warning; image processing algorithm; natural language processing algorithms; knowledge graph
- CLC:
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TP183
- DOI:
-
10.11992/tis.202107027
- Abstract:
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The global spillover effect of financial risks is superimposed on the associated risks in the innovative development of China’s financial industry. The superposition has made the situation of international and China’s domestic financial risks severe. Under such circumstances, the lack of effective and timely key factors in the traditional risk early-warning technology makes it extremely difficult to predict and forewarn the financial risks. This paper focuses on how to use perceptual cognitive technology to extract effective and timely key factors for the financial risk early-warning from considerable unstructured data. In addition, based on the review of the current researches of existing models, the paper summarizes relevant technical difficulties and future research trends. The research content of this paper can provide necessary reference for China’s research and development of independent and controllable financial risk early-warning technology.