Title :
Text spam neural network classification algorithm
Author :
Ma, Qiuming ; Qin, Zhiguang ; Zhang, Fengli ; Liu, Qiao
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
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.
Keywords :
feature extraction; information filtering; neural nets; pattern classification; text analysis; unsolicited e-mail; neural network classifier model; spam e-mail filtering method; text feature extraction; text spam neural network classification algorithm; text vector generation; Artificial neural networks; Electronic mail; Feature extraction; Filtering; Neurons; Postal services; Training;
Conference_Titel :
Communications, Circuits and Systems (ICCCAS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8224-5
DOI :
10.1109/ICCCAS.2010.5581954
