Labeling method and device based on multi-label classification, equipment and storage medium

Abstract

The invention discloses a labeling method and device based on multi-label classification, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the steps that a training sample set is acquired and imported into a model, an output result is acquired, the output result at least comprises output probabilities of training corpora under multiple labels, confidence intervals corresponding to the output probabilities are calculated, the training corpora are marked again based on the confidence intervals, the model is iteratively updated, and the output result is obtained, a trained model is obtained, a to-be-labeled corpus is obtained, a classification result of the to-be-labeled corpus is obtained through the trained model, and the to-be-labeled corpus is labeled based on the classification result. In addition, the invention further relates to a block chain technology, and the corpus to be labeled can be stored in the block chain. According to the technical scheme, the accuracy and the stability of the multi-label classification model are improved so that the output of the model obtained by training meets the multi-label classification labeling requirements in most application scenes.

Description

Technical field[0001]The present application belongs to the field of artificial intelligence, and specific to a labeling method, apparatus, device, and storage medium based on multi-label classification.Background technique[0002]In recent years, with the high-speed development of the Internet, in particular the arrival of the mobile Internet era, human beings enters the big data era, producing massive data every day, so analyzing massive data, and obtains valuable information has become academia and industry Common hotspots together. As a major external form of massive data, text-related processing technology has received great attention from people, and text classification technology has also entered a new stage of development.[0003]Current text label mainly depends on the classification model to be implemented, that is, the text is classified by the classification model, and the text is labeled based on the classification result. Traditional text classification technology mainly i...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present application is to propose a multi-label classification-based labeling method, device, device, and storage medium to solve the problem of labeling accuracy caused by too many classification labels in the existing text labeling scheme based on the multi-label classification model Not high, unable to meet the technical problems of labeling requirements

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