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A Neural Model in Anti-spam Systems

2006; Springer Science+Business Media; Linguagem: Inglês

10.1007/11840930_88

1611-3349

Otávio A. S. Carpinteiro, Isaías Lima, João M. C. Assis, Antônio Carlos Zambroni de Souza, Edmilson M. Moreira, Carlos Pinheiro,

Text and Document Classification Technologies

The paper proposes the use of the multilayer perceptron model to the problem of detecting ham and spam e-mail patterns. It also proposes an intensive use of data pre-processing and feature selection methods to simplify the task of the multilayer perceptron in classifying ham and spam e-mails. The multilayer perceptron is trained and assessed on patterns extracted from the SpamAssassin Public Corpus. It is required to classify novel types of ham and spam patterns. The results are presented and evaluated in the paper.