Garbage message model training method, garbage message identifying method and device thereof

The invention discloses a garbage message model training method, a garbage message identifying method and a corresponding device. The garbage message model training method comprises the following steps: obtaining a message sample; performing feature extraction on the message sample to obtain a feature vector of the message sample; performing full-scale training on the message sample by adopting a learning monitoring mode to obtain a garbage message model, wherein the garbage message model, comprises conditional probability that the message including the feature corresponding to each feature in the feature vector is the garbage message. According to the technical scheme adopted by the invention, the garbage message model which is hidden but practically exists is found in a large number of message samples, so that the garbage information model obtained by training has capacity of precisely identifying. The garbage message identifying method disclosed by the invention can be used for precisely identifying whether different messages with the same feature are garbage messages or normal messages, so that the identifying accuracy rate is increased.