Application of Self-Organizing Maps to Classification and Browsing of FAQ E-mails
Revised Papers from the PRICAI 2000 Workshop Reader, Four Workshops held at PRICAI 2000 on Advances in Artificial Intelligence
A Neural Network Based Approach to Automated E-Mail Classification
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Learning how to tell ham from spam
Crossroads
Anti-Spam Measures: Analysis and Design
Anti-Spam Measures: Analysis and Design
Introduction to Information Retrieval
Introduction to Information Retrieval
Location name extraction for user created digital content services
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
On effective e-mail classification via neural networks
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
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Although they sometimes seem harmless, hoaxes represent not-negligible threat to individuals' awareness of real-life situations by deceiving them, and at the same time doing harm to the image of their organizations, which can lead to substantial financial losses. Spreading of hoaxes also influences the normal operating regime of networks and the efficiency of workers. In this paper we present an intelligent automatic hoax detection system based on neural networks and advanced text processing. In the developing of our system we use a database with real-life e-mail hoaxes, and an additional database with real-life e-mail messages. At the end we give brief experimental evaluation of the hoax detection system and comment the results.