Flexible Text Classification for Financial Applications: The Facile System

This paper describes an advanced system for multilingual text classification adaptable to different user needs. The system has been initially developed as an applied research project involving both research centres, industrial bodies and enduser organizations. The project is a considerable success story in the financial field. Three different successful applications were released at the users' sites involved in the project. Moreover the system was adopted by the main Italian financial news agency where it is used to provide classified news for an external pay-toview service. The system has been running continuously since January 1998. Its architecture integrates modules based on both innovative artificial intelligence methodologies and commercial tools. This shows that state-of-the-art AI techniques are mature enough to provide real world applications. 1 PROBLEM DESCRIPTION Knowledge is nowadays the key source for competitive advantage. The success or failure of a company can depe...

• Type: Conference
• Year: 2000
• Where: ECAI
• Authors: Fabio Ciravegna, Alberto Lavelli, Nadia Mana, Johannes Matiasek, Luca Gilardoni, Silvia Mazza, Massimo Ferraro, William J. Black, Fabio Rinaldi, David Mowatt
• Keywords: Artificial Intelligence, Artificial Intelligence Methodologies, Competitive Advantages, ECAI 2000