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
Link To Document :
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