Spam filtering method and system based on deep learning
A spam filtering and deep learning technology, applied in the field of spam filtering, can solve problems such as troubles, improve accuracy and stability, save time and manpower
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[0054] The present invention provides a method and system for filtering spam based on deep learning. In order to make the objectives, technical solutions and effects of the present invention clearer and clearer, the present invention will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0055] The present invention provides a method for filtering spam based on deep learning. Through the self-learning ability of the deep belief network, combined with the advantages of big data, the large number of samples existing on the network are used to learn to improve the classification ability. On the one hand, it can improve the identification of spam On the other hand, the deep belief network is a semi-supervised learning model, which can be trained with a large-scale non-standard sample set....
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