Taxpayer industry classification method based on noise label learning

Abstract

A taxpayer industry classification method based on noise label learning comprises the steps that firstly, text information to be mined in taxpayer industry information is extracted for text embedding, and feature processing is conducted on the embedded information; secondly, non-text information in the taxpayer industry information is extracted and coded; thirdly, a BERT-CNN deep network structure conforming to the taxpayer industry classification problem is constructed, and the number of layers of the network, the number of neurons of each layer and the input and output dimensions are determined according to the processed feature information and the target category number; then, the constructed network is pre-trained through comparative learning, nearest neighbor semantic clustering and self-label learning in sequence; finally, a noise modeling layer is added on the basis of the constructed deep network, modeling is carried out on noise distribution through network self-trust and noise label information, and model training is carried out based on noise label data; and finally, the deep network in front of the noise modeling layer is taken as a classification model, and taxpayer industry classification is performed based on the model.

Description

technical field [0001] The invention belongs to the technical field of text classification methods with noise labels, in particular to a taxpayer industry classification method based on noise label learning. Background technique [0002] In recent years, with the rapid development of the national economy and the continuous prosperity of the market economy, the division of labor in my country's enterprises has also been continuously refined. Studying the industry classification of corporate taxpayers is the basic work of tax source classification management. It is the key prerequisite for improving the electronic level of tax file management and implementing information water management. It is to promote industry modeling and carry out tax source classification monitoring, early warning, analysis and implementation of professional tax assessment. important support. The "Taxpayer Classification and Diversity Management Measures" issued by the State Administration of Taxation ...

AI Technical Summary

Problems solved by technology

However, in reality, limited by the professional knowledge and experience of the reporting personnel, there is a lot of noise in the taxpayer industry category labeling data in the existing database. Directly using it for model training will lead to a sharp decline in the accuracy of industry classification

Images