System and method for computing dynamic relationships of entities

By combining pre-trained models with traditional models, this method identifies personal names, organization names, and geographical entities in news articles, analyzes changes in entity relationships, solves the problem of unpredictable trends in news popularity, and enables the establishment of real-time dynamic relationships and the expansion of the search term library.

CN114742057BActive Publication Date: 2026-07-24ANHUI QINGBO BIG DATA TECH CO LTD
2 Cites 0 Cited by

Patent Information

Application Number
CN202210370663.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-04-11
Publication Date
2026-07-24
Estimated Expiration
2042-04-11

AI Technical Summary

Technical Problem

Existing technologies cannot effectively identify and predict the changing trends of entity relationships when news popularity changes, resulting in unpredictable changes in the popularity of news information.

Method used

By combining pre-trained models with traditional models, and through entity recognition, construction calculation, and push writing modules, the system identifies personal names, organization names, and geographical entities in news articles, analyzes the changing trends of entity relationships, and establishes real-time dynamic relationships.

Benefits of technology

It enables the identification of news subjects from complex news texts, analysis of changing trends in entity relationships, establishment of real-time dynamic relationships between entities, and support for future expansion of the search term database.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The application discloses a system and method for calculating dynamic relations of entities, comprising an entity recognition module, a calculation module and a writing and pushing module, wherein the entity recognition module comprises a recognition processing unit, an extraction unit and a standardization and screening unit; the processing unit is used for processing personal names and institutional names; the extraction unit is used for splicing the title and the body of news and inputting into a model; the standardization and screening unit is used for standardizing the input personal names and institutional names by using a regular expression; according to the existing entity recognition technology, the news subject is recognized from the complicated news body by using a combination of a pre-training model and a traditional model, the change trend of the recognized entity relations with the news heat is analyzed, the real-time dynamic relations between the entities are established, and the system can be applied to future search word library expansion.
Need to check novelty before this filing date? Find Prior Art