Financial product information structured data extraction method and data subject standardization system

By working collaboratively with modules for data collection, feature extraction, data processing, and subject standardization, the problem of inconsistent data formats for financial product information has been solved, achieving efficient and accurate data standardization processing and improving the efficiency of data application and the accuracy of business decisions for financial institutions.

CN121786439APending Publication Date: 2026-04-03SHANGHAI MEISHI TECH CO LTD
0 Cites 0 Cited by

Patent Information

Application Number
CN202511627890.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-07
Publication Date
2026-04-03

AI Technical Summary

Technical Problem

The inconsistent data formats, inconsistent attribute descriptions, and significant differences in coding rules of financial product information increase the difficulty of data parsing. Traditional methods are labor-intensive, have poor adaptability, and cannot meet the financial industry's needs for efficient data processing and accurate application.

Method used

The system employs a data acquisition module for multi-source analysis, a feature extraction module for key feature collection, a data processing module for standardized learning, a subject standardization module for precise matching, and an adjustment module for real-time correction. By combining machine learning and contextual information processing, a standard subject mapping array is formed.

Benefits of technology

It enables comprehensive collection and accurate standardization of multi-format data, reduces labor costs, improves data flexibility and accuracy, and supports the core business operations of financial institutions.

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

Abstract

The invention relates to the technical field of financial data processing, and discloses a financial product information structured data extraction method and a data subject standardization system. A data acquisition module of the system obtains original information from a plurality of financial data sources and analyzes the original information to obtain structured data fragments; the feature extraction module collects key features based on the structured data fragments to obtain financial attribute features and subject coding features; the data processing module performs standardized learning on the features through the structured data fragments to generate a standard subject mapping array; the subject standardization module is combined with a standard subject system and a standard subject mapping array to control a subject matching process of a data standardization engine; the adjusting module collects context parameters of the data fragments to determine a dynamic subject deviation value, and corrects the matching direction of the data standardization engine. According to the system, efficient extraction and accurate standardization of multi-source financial product information can be realized, data processing standardization and accuracy are improved, and data application requirements of the financial industry are met.
Need to check novelty before this filing date? Find Prior Art