Data label generation, model training, event recognition method and device
A technology of data labeling and target events, applied in computing models, data processing applications, machine learning and other directions, can solve the problem of difficulty in guaranteeing label accuracy, and achieve the effect of solving difficulty in guaranteeing, solving label accuracy and improving accuracy.
Active Publication Date: 2020-06-02
ADVANCED NEW TECH CO LTD
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[0004] The purpose of the embodiment of the present application is to provide a method and device for data label generation, model training, and event identification, so as to solve the problem that the accuracy of labels in manual labeling is difficult to guarantee, and improve the accuracy of the data processing results of the model
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[0046] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.
[0047] The embodiment of the present application provides a method and device for data label generation, model training, and event identification, to solve the problem that manual labeling is difficult to guarantee the label accuracy, and improve the accuracy of the data processing results of the model.
[0048] figure 1 A schematic diag...
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A data tag generation method and apparatus, a model training method and apparatus, and an event identification method and apparatus. The data tag generation method comprises: acquiring multiple pieces of event data of a target event (S202); using multiple event identification policies corresponding to the target event to respectively process the multiple pieces of the event data so as to acquire, for each piece of the event data, first identification result data relating to a risk event (S204); performing data inference according to a data inference model corresponding to the first identification result data, and on the basis of the first identification result data, so as to acquire, for each piece of the event data, second identification result data relating to a risk event (S206); and determining a data tag of each piece of the event data according to the second identification result data of each piece of the event data (S208).
Description
technical field [0001] The present application relates to the field of computer equipment, and in particular to a method and device for data label generation, model training, and event identification. Background technique [0002] With the development of artificial intelligence technology and deep learning technology, various models can be established in the computer, and various events can be processed through the models. For example, the user complaint event is processed through the user complaint event identification model to determine whether the user complaint event is established. User complaints can be complaints about other users' gambling, money laundering and other events. [0003] At present, the main process of training the model is: obtaining sample data, labeling the sample data, and using the labeled sample data to train the model. At present, the data is mainly labeled manually, and there is a problem that the accuracy of the label is difficult to guarantee...
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IPC IPC(8): G06N20/00G06Q10/06G06Q30/00
CPCG06Q10/0635G06Q30/01G06N20/00
Inventor 程羽刘腾飞王维强杨洋徐轶
Owner ADVANCED NEW TECH CO LTD