A systematic review of perceptual cognitive technology and its application in the field of financial risk early warning

Jing Xiao, Lei Wang, Yujiu Yang, Na Li, Mengmeng Zhao, Youxin Chen, Tao Tan

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)941-961
Number of pages21
JournalCAAI Transactions on Intelligent Systems
Volume16
Issue number5
DOIs
Publication statusPublished - Sept 2021
Externally publishedYes

Keywords

  • financial risk pre-warning
  • financial risk pre-warning
  • image processing algorithm
  • image processing algorithm
  • knowledge graph
  • knowledge graph
  • natural language processing algorithms
  • natural language processing algorithms

Fingerprint

Dive into the research topics of 'A systematic review of perceptual cognitive technology and its application in the field of financial risk early warning'. Together they form a unique fingerprint.

Cite this