Chinese Spam Filtering Based On Back-Propagation Neural Networks
Software Engineering
Volume 4, Issue 2, March 2016, Pages: 9-12
Received: Apr. 15, 2016; Published: Apr. 16, 2016
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Authors
Peiguo Li, Department of Mathematics, Jinan University, Guangzhou, China
Yan Ye, Department of Computer Science, Guangzhou College of Commerce, Guangzhou, China
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Abstract
As the email service is becoming an important communication way on the Network, the spam is increasing every day. This paper describes a new filtering model based on email content by using Back-Propagation Neural Networks (BPNN). And for the Chinese email, it uses Natural Language Processing & Information Retrieval Sharing Platform (NLPIR) system to perform Chinese word segmentation. The simulation results show that this model can precisely filter the Chinese spam.
Keywords
Spam, BPNN, NLPIR
To cite this article
Peiguo Li, Yan Ye, Chinese Spam Filtering Based On Back-Propagation Neural Networks, Software Engineering. Vol. 4, No. 2, 2016, pp. 9-12. doi: 10.11648/j.se.20160402.11
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