A Technology for Automatic Extraction and Portrait Visualization of Document Tags
Yang Zhao · 2025
This paper focuses on the problem of automatic extraction and portrait visualization in industrial enterprises, and deeply studies the advantages of intelligent algorithm application to realize document tagging. To this end, this paper realizes the application of document labels to achieve the purpose of scientific and real-time mining of text information, and carries out industrial data monitoring, so as to reduce the extraction error of the model. The results of this paper show that after upgrading the automatic extraction and portrait visualization technology model, the extraction accuracy is increased to 86.19%, the document processing time is reduced to 279.13s, and the error correction efficiency is increased to 58.11%. Therefore, the final conclusion shows that the application of automatic extraction and portrait visualization technology for document tags can comprehensively improve the operation efficiency and stability of industrial data analysis and processing, and provide feasible solutions for the operation and management of industrial enterprises.