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Text spam neural network classification algorithm

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4 Author(s)
Qiuming Ma ; Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China ; Zhiguang Qin ; Fengli Zhang ; Qiao Liu

In order to effectively filter spam e-mails, this paper introduces a neural network-based spam filtering method, described text feature extraction, text vector generation, neural network classifier model building and testing. Verify through experiments that, choose different learning and training function, the network classification results are very different.

Published in:

Communications, Circuits and Systems (ICCCAS), 2010 International Conference on

Date of Conference:

28-30 July 2010