TY - JOUR
T1 - A systematic review of perceptual cognitive technology and its application in the field of financial risk early warning
AU - Xiao, Jing
AU - Wang, Lei
AU - Yang, Yujiu
AU - Li, Na
AU - Zhao, Mengmeng
AU - Chen, Youxin
AU - Tan, Tao
N1 - Publisher Copyright:
© 2021, Editorial Department of CAAI Transactions on Intelligent Systems. All rights reserved.
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
KW - financial risk pre-warning
KW - financial risk pre-warning
KW - image processing algorithm
KW - image processing algorithm
KW - knowledge graph
KW - knowledge graph
KW - natural language processing algorithms
KW - natural language processing algorithms
UR - http://www.scopus.com/inward/record.url?scp=85176247422&partnerID=8YFLogxK
U2 - 10.11992/tis.202107027
DO - 10.11992/tis.202107027
M3 - Article
AN - SCOPUS:85176247422
SN - 1673-4785
VL - 16
SP - 941
EP - 961
JO - CAAI Transactions on Intelligent Systems
JF - CAAI Transactions on Intelligent Systems
IS - 5
ER -