Sample data processing method and device and computer readable storage medium

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...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the technical problem of inaccurate labeling of sample data in the related art, the present invention provides a sample data processing method, device and computer-readable storage medium

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