Short message identification method and equipment
An identification method and a technology for identifying equipment, which are applied in wireless communication, electrical components, safety devices, etc., and can solve problems such as irretrievable losses, unacceptable reception, and high risks for users
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[0028] Method embodiment one:
[0029] See figure 1 , The figure is a flowchart of the first embodiment of the method of the present invention.
[0030] S101: The mobile phone receives the short message sent by the server and the probability feature vector of the short message.
[0031] The probability feature vector of the short message is calculated by the server. To enable those skilled in the art to better understand and implement the present invention, the calculation method of the probability feature vector will be described in detail below.
[0032] First introduce the training process performed in advance on the server side.
[0033] The original short message models of each category are counted by the marked short message collection.
[0034] The original short message model refers to the word frequency distribution vector of a type of short message in the word feature space, using (N k (t 1 ),..., N k (t i ),..., N k (t n )), 0≤i≤n. Where n refers to the number of all words in...
Example
[0061] For example, if there are 5 samples with a1 in the range of (0.4, 0.5) in the training sample, and the total number of training samples is 14, then the probability of P(a1|Normal SMS) (0.4
[0062] For the convenience of description, Table 1 only shows P(a 1 |Normal SMS) calculation method, according to the same calculation method can calculate P(a 2 |Normal SMS), P(a 3 |Normal SMS), P(a 4 |Normal SMS) and P(a 5 |Normal SMS). Then multiply these probabilities to get the first generation probability.
[0063] In the same way, the second generation probability can be calculated.
[0064] Then calculate the first joint distribution probability P (d, normal short message) and ...
Example Embodiment
[0081] Method embodiment two:
[0082] See figure 2 , This figure is a flowchart of Embodiment 2 of the method of the present invention.
[0083] The difference between this embodiment and method embodiment one is that the interaction between the user and the mobile phone is increased, and the short message model is updated through the user's feedback.
[0084] S201-S203 are the same as S101-S103 in method embodiment 1, and will not be repeated here.
[0085] S204: The mobile phone presents the identification result of the short message, that is, whether the short message is a normal short message or a spam short message, to the user.
[0086] For example: the display of the mobile phone will display the prompt of "received spam message" or "received normal message".
[0087] S205: The mobile phone receives the judgment result fed back by the user according to the recognition result, the judgment result being that the short message is a normal short message or a spam short message, and ...
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