Sample data processing method and device and computer readable storage medium

A technology of sample data and processing methods, which is applied to computer parts, calculation, character and pattern recognition, etc., and can solve problems such as inaccurate labeling of sample data

Pending Publication Date: 2018-05-08
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0007] In order to solve the technical problem of inaccurate labeling of sample data in the related art...

Method used

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  • Sample data processing method and device and computer readable storage medium
  • Sample data processing method and device and computer readable storage medium
  • Sample data processing method and device and computer readable storage medium

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Embodiment Construction

[0044] Reference will now be made in detail to 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 examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0045] In an exemplary embodiment, the implementation environment involved in the present invention is a machine with computing capabilities, for example, a terminal device, or even a server-level machine with more powerful computing capabilities.

[0046] Through the deployed machine, the model training process of the classification model is executed for the business scenarios that need to be reali...

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Abstract

The invention discloses a sample data processing method and device and a computer readable storage medium. The method comprises the steps that a classification model is acquired; automatic annotationof model retraining sample data is performed through the classification model; the model retraining sample data and an automatic annotation result are displayed, the selection of correcting the displayed automatic annotation result is received, and an annotation expansion result of the model retraining sample data is obtained; and the model retraining sample data and the annotation expansion result are fed back to the model for training till the classification model no longer obtains classification performance improvement and iterative optimization of the annotation result corresponding to themodel retraining sample data is performed, and the error correction and leakage finding process of the corresponding annotation result is completed. In this way, annotation accuracy is improved, thesample data is continuously expanded, the corresponding automatic annotation result is obtained after automatic annotation through the classification model, the more precise annotation expansion result is obtained through correction, and the sample data in a large scale and large-quantity wide-dimensional annotation performed on the sample data are obtained.

Description

technical field [0001] The present invention relates to the field of computer application technology, in particular to a sample data processing method, device and computer-readable storage medium. Background technique [0002] With the development of computer application technology, machine learning technology is becoming more and more mature, and has been widely used, and then landed in various business scenarios. According to the business scenario to be realized, model training is carried out based on machine learning technology to obtain a classification model suitable for the required realization of the business scenario, and then the automatic recognition function of the input data can be provided for this business scenario through the obtained classification model. [0003] However, before performing model training, it is necessary to provide sample data and a label marked for each sample data, and the marked label is the labeling result of the sample data. [0004] T...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/214G06F18/241
Inventor 余宗桥
Owner TENCENT TECH (SHENZHEN) CO LTD
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