Method, device, electronic device and storage medium for generating document labels

Abstract

Embodiments of the present disclosure provide a method, device, electronic device, and computer-readable storage medium for generating document tags. In this method, text analysis is performed on a given document to obtain the text analysis result of the document; the text analysis result is input into the label generation model to generate the original label of the document, and the label generation model is based on the training text analysis results and training labels. built; and optimizing the original tags to get the target tags for the document. Embodiments of the present disclosure can provide efficient and accurate document label generation.

Description

technical field [0001] Embodiments of the present disclosure relate generally to the field of information processing, and more particularly, to a method, apparatus, electronic device, and computer-readable storage medium for generating document tags. Background technique [0002] At present, personalized information recommendation based on users' points of interest is a new trend in the field of information consumption, and the core technologies include content modeling and user modeling. The task of content modeling is to give appropriate labels to information or documents, or also known as points of interest or points of interest. [0003] Generally speaking, document tags refer to text descriptions that can reflect document content or readers' interests. The tags here can be more refined words or text fragments than abstracts, which help readers quickly understand the content of the full text. Document tags play an important role in document classification, recommendati...

AI Technical Summary

Problems solved by technology

However, the traditional document label generation scheme has problems such as low efficiency and poor effect, and cannot meet the needs of users in many application scenarios

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