Intelligent Text Mining Based Financial Risk Early Warning System

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.

Application of formal grammar in text mining and construction of an ontology

“…Since it is necessary to first deal with this challenge, at a high level, the majority of approaches to text mining require breaking the task into several sub-tasks. These tasks predominantly require that the text be first processed to obtain the underlying linguistic structures and sequences, the 'intermediate form' mentioned earlier, and then this organized information can be analyzed using statistical methods, machine learning, and pattern recognition [12].…”

Research on Financial Risk Evaluation and Risk Control Strategies of China's Construction Enterprises - Taking X Construction Company as an Example

“…Nowadays, financial risk management has become one of the important tasks in the production and operation of each construction enterprise, which has an important impact on the development and stability of the enterprise [4][5][6]. Financial risk control is directly related to the future profitability and development of the enterprise, the better the financial risk control, the more helpful to the development of the enterprise, on the contrary, it will bring harm to the enterprise, the degree of danger is positively related to the risk control [7][8].…”