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Method, device, and apparatus for data marking, and computer readable storage medium

A technology of data and labeling information, applied in the field of data labeling, can solve problems such as low accuracy rate and low efficiency, and achieve the effect of solving low accuracy rate and low efficiency

Active Publication Date: 2018-11-27
NEUSOFT CORP
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a data labeling method, device, equipment and computer-readable storage medium to solve the problems of low efficiency and low accuracy in the prior art for labeling data

Method used

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  • Method, device, and apparatus for data marking, and computer readable storage medium
  • Method, device, and apparatus for data marking, and computer readable storage medium
  • Method, device, and apparatus for data marking, and computer readable storage medium

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Embodiment Construction

[0032] figure 1 It is a flowchart of a data labeling method shown in an exemplary embodiment of the present invention.

[0033] like figure 1 As shown, the data labeling method provided in this embodiment includes:

[0034] Step 101, extracting data features of the first data to be labeled according to the extraction parameters.

[0035] Among them, a part of the data to be labeled may be collected first, and the data features of this part of the data to be labeled may be extracted.

[0036] Specifically, the extraction parameters can be specifically set according to the characteristics of the data to be labeled. For example, if the data to be labeled has time information, the data features can be extracted according to the time parameters; Extract features from the data.

[0037] Further, if there is a certain amount of research on the first data to be labeled in advance and a certain understanding of it, the extraction parameters can be determined according to the resear...

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PUM

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Abstract

The invention provides a method, a device, and an apparatus for data marking, and a computer readable storage medium. The method comprises: extracting data features of first data to be marked according to extraction parameters; according to preset standard samples and marking information corresponding to the standard samples, pre-marking the data features, to obtain actual samples and marking information corresponding to the actual samples; training a marking model which is used to mark data according to the actual samples and the corresponding marking information, and marking second data to be marked based on the trained marking model. The scheme can obtain a marking model by training the first data to be marked according to the standard samples and the corresponding marking information,thereby being able to automatically mark data to be marked based on the trained model, so as to solve problems of low efficiency and low accuracy of a data marking method in the prior art.

Description

technical field [0001] The present invention relates to data labeling technology, in particular to a data labeling method, device, equipment and computer-readable storage medium. Background technique [0002] Machine learning technology is an interdisciplinary subject of computer science and statistics. The process of machine learning is the process of finding the objective function through training data. Therefore, the quality of input data will affect the accuracy of machine learning. [0003] At present, the commonly used machine learning method is the supervised learning method. When using this method, it is necessary to input data with labeled information as training data. However, a large amount of data in the prior art has no labeling information, and the data needs to be processed and labeled. The method adopted in the prior art is to manually mark the data. [0004] Due to the low efficiency of manually labeling data, and the different subjective consciousness of ...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2113G06F18/214
Inventor 徐丽丽王宇飞
Owner NEUSOFT CORP
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