Chinese Spam Filtering Based On Back-Propagation Neural Networks
نویسندگان
چکیده
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.
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