Automated Regulation Influence Analysis for Bills
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Solution Overview
Problem
Current regulation influence analysis reports are manually prepared, primarily for government legislation bills when regulations are strengthened, lacking for member bills, and lack reliability due to potential omission of relevant data, especially overseas cases, leading to incorrect information.
Innovation Solution
A computing system generates regulation influence analysis data by text mining and machine learning, calculating relevance and risk, and providing automated reports for both government and member bills, including overseas case analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual preparation of regulation influence analysis reports is used, then the process is simple to implement, but the reliability and completeness of data are poor
Solution Approach 1:
The patent replaces the manual mechanical process of preparing regulation influence analysis reports with an automated computing system that uses text mining algorithms and machine learning models. The system automatically extracts information from bill documents, searches for relevant overseas cases and similar legislative cases, and generates comprehensive analysis reports, thereby eliminating human errors and improving data reliability without requiring complex manual operations.
Solution Approach 2:
The computing system performs self-service by automatically executing text mining on bill contents, autonomously searching for relevant overseas cases and similar legislative cases, and independently generating regulation influence analysis reports. The system uses pre-trained machine learning models to automatically determine regulation types, impacts on regulated groups, and risk assessments, eliminating the need for manual data collection and analysis while ensuring comprehensive and reliable results.
2Quantity of substance
If regulation influence analysis reports are prepared only for government legislation bills when regulations are strengthened, then the workload is reduced, but the completeness of information is poor
Solution Approach 1:
The patent makes the regulation influence analysis system universal by enabling it to handle all types of bills (government legislation bills and member bills) and all types of regulatory changes (strengthening, weakening, and new regulations). The system uses a unified text mining approach and machine learning model that can process any bill document and automatically identify the type of regulatory change, thereby providing comprehensive coverage without requiring separate processing procedures for different bill types.
Solution Approach 2:
The system dynamically adjusts its analysis parameters based on the type of bill and the nature of regulatory change detected through text mining. When a member bill or a bill weakening regulations is detected, the system automatically modifies its search criteria for overseas cases and similar legislative cases, and adjusts the risk assessment parameters accordingly. This allows the system to maintain high analysis efficiency while providing comprehensive coverage across all bill types and regulatory scenarios.
3Reliability
If manual data collection for overseas cases is performed, then the process is flexible, but incorrect information may be provided when data is marked as not applicable
Solution Approach 1:
The patent replaces manual data collection for overseas cases with an automated computing system that uses text mining algorithms to extract relevant information from digital documents and databases. The system automatically searches for overseas cases and similar legislative cases, extracts key information, and validates data accuracy through programmed criteria, thereby eliminating human errors and time loss while ensuring high information accuracy.
Solution Approach 2:
The system incorporates feedback mechanisms where the machine learning model continuously learns from the quality and accuracy of extracted data, automatically adjusting its text mining parameters and search criteria. When data is found to be incomplete or inaccurate, the system automatically refines its search and extraction processes, ensuring that only reliable information is provided and preventing incorrect information from being marked as not applicable.
Data Source
AI summary
A monitoring method for a bill and regal regulation according to an embodiment of the present invention, which is performed by a computing system comprising at least one memory and at least one processor, comprises the steps of: storing template information including a preset item; receiving, from a user terminal, basic information including main contents and proposal reasons of a bill; storing the received basic information in an analysis server; forming, on the basis of the preset item, extracted information from the basic information via text mining; generating regulation influence analysis data on the basis of the extracted information and the template information; and on the basis of the generated regulation influence analysis data, outputting a regulation influence analysis interface for the bill or legal regulation to the user terminal.