• DocumentCode
    711855
  • Title

    Intelligent Text Mining Based Financial Risk Early Warning System

  • Author

    Keqin Wang ; Qikun Wu ; Hongyu Mao ; Mubing Zhou ; Kuan Jiang ; Xuepei Zhu ; Lin Yang ; Ting Wang ; Huaiqing Wang

  • Author_Institution
    Dept. of Financial Math. & Financial Eng., South Univ. of Sci. & Technol. of China, Shenzhen, China
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    279
  • Lastpage
    281
  • Abstract
    With increasing risks faced by financial firms and markets, text mining is playing more and more important role. However, because of the complexity between a text and the consequences caused by the text, it is hard for traditional text mining techniques to meet the needs. In order to solve this problem, we focus on the employment of intelligent agents to enhance the capability of text analysis. In our system, various classes of intelligent agents are proposed for financial risk early warning. The text mining agent gives influence measurement, the relationship agent generates relationship measurement between the text and the target, and the reliability agent measures whether the text is trustable or not. Collaboration within such agents is able to produce more effective and accurate early warning messages.
  • Keywords
    data mining; financial management; text analysis; financial firms; financial markets; financial risk-early-warning system; influence measurement; intelligent agents; intelligent text mining; relationship agent; relationship measurement; reliability agent; text analysis capability enhancement; trustable text; Artificial intelligence; Information services; Intelligent agents; Internet; Reliability; Text mining; User interfaces; Intelligent Systems; Knowledge Engineering; Text Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-6849-0
  • Type

    conf

  • DOI
    10.1109/ICISCE.2015.68
  • Filename
    7120608