Text tagging method based on artificial intelligence, electronic device and storage medium

Abstract

The invention relates to an artificial intelligence technology, and discloses a text tagging method based on artificial intelligence. The method comprises the steps: receiving a target document uploaded by a user and an inputted business demand; the method comprises the following steps: providing a preset template set for a user, receiving a template selected by the user from the template set or providing a canvas for the user, presetting a component, and receiving a custom template created by the user in the canvas according to the preset component; analyzing the target document and extracting a required text by adopting a corresponding text extraction technology according to the service demand and a template selected or created by a user to obtain a tagged extraction result; and displaying the tagged extraction result. The invention further provides an electronic device and a computer readable storage medium. The data, model and service integration system architecture for various documents can be provided, and an end-to-end solution is provided for operations such as chapter analysis, core content extraction and key field recognition of various documents.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based text labeling method, an electronic device, and a computer-readable storage medium. Background technique [0002] In recent years, artificial intelligence technology, as the core of the new generation of scientific and technological revolution, has received national attention. For traditional industries (such as banks, securities and other traditional financial institutions), technological transformation has become an inevitable trend. However, for these institutions, it is not easy to realize the intelligentization and automatic upgrading of business processes accurately, quickly and cost-effectively. The reasons are as follows: First, due to their own technical capabilities and resource limitations, these institutions lack a testing environment, which reduces the efficiency of launching innovative technologies and produc...

AI Technical Summary

Problems solved by technology

However, the existing solutions may have the following defects: the technology itself is simple in structure, functionally customized, and lacks a complex model for deep semantic understanding; the solution is more bound to the RPA framework, not pluggable, and lacks flexibility and migration capabilities; The models run independently in the whole process without integration; the platform only displays the technology, and does not design the relationship between the technologies; the platform is rich in technology, but the service is still customized, and it is realized by applying for a specific technology interface or installation package; the platform It only provides technical capabilities and is not responsible for planning business logic. It is on the technical side

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