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Model training method, data label generation method and device

A technology of data labeling and model training, applied in the field of data processing, can solve the problems of large manpower and material resources, consumption, and inability to guarantee the accuracy of data labels, etc., to achieve the effect of saving manpower and material resources and improving efficiency

Active Publication Date: 2022-04-26
HANGZHOU HIKVISION DIGITAL TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, this application provides a model training method, a data label generation method and a device to solve the problem in the prior art that manually defining data labels on data will consume a lot of manpower and material resources, and at the same time, the accuracy of data labels cannot be guaranteed. question

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  • Model training method, data label generation method and device
  • Model training method, data label generation method and device
  • Model training method, data label generation method and device

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Embodiment Construction

[0032] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0033] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term...

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Abstract

The application provides a model training method, a data label generation method and a device. The model training method includes: obtaining first attribute information from sample data, and the first attribute information includes at least: the data source and data format of the sample data; the sample data Business tags are set; the second attribute information is obtained from the sample data, and the second attribute information at least includes: table description information and table name of the sample data; the target tag matching the sample data is determined from the preset tag set; The first attribute information, the second attribute information, the target label, and the service label are stored in the training sample set as training samples, so as to use the training sample set to train the data label generation model, and the data label generation model is used to generate corresponding services for the data to be processed Label. By applying this method, the trained data label generation model can be used to automatically generate data labels for unknown label data, thereby improving the efficiency of label management for data and saving manpower and material resources.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a model training method, a method and a device for generating data labels. Background technique [0002] With the development of Internet big data, tag management has become an important part of the big data era. By defining data tags with keyword characteristics for data, it can facilitate subsequent data indexing and data search. However, with the birth of massive data, a lot of data due to historical reasons or other reasons lead to fragmented and scattered data distribution, thus forming multiple data islands. [0003] In the existing technology, in order to solve the data island, data can be sorted out manually, the data can be classified and the data labels can be defined. This method will undoubtedly consume a lot of manpower and material resources. At the same time, due to the influence of human experience, the accuracy of the data labels defined fo...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/21G06F16/2457
CPCG06F16/21G06F16/24573
Inventor 李国琪
Owner HANGZHOU HIKVISION DIGITAL TECH