Document Classification Using Applicant Attributes and Content
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Solution Overview
Problem
Existing systems for classifying document items based solely on electronic document content are not accurate enough, leading to inefficiencies in accounting and expense management processes.
Innovation Solution
An information processing apparatus that includes a storage unit for classification rules corresponding to applicant attributes, an acquisition unit for document content, and a setting unit that uses these rules to accurately set document classification items, taking into account the applicant's attributes and content of the document.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If document classification is based solely on electronic document content, then the classification process is simple, but the classification accuracy is insufficient
Solution Approach 1:
The patent combines multiple information sources (document content, applicant attributes, classification rules) into a unified classification system. The setting unit integrates electronic document content from the acquisition unit with applicant attribute information from the storage unit, applying classification rules to generate comprehensive classification items that improve accuracy while managing system complexity through structured integration.
2Reliability
If document classification uses only content analysis, then the processing speed is fast, but the reliability of classification results is low
Solution Approach 1:
The system performs preliminary actions by pre-storing classification rules and applicant attribute information in the storage unit before the actual classification process. When a document needs classification, the setting unit quickly retrieves relevant pre-stored rules and attributes, avoiding time-consuming analysis during the classification moment itself, thus improving both reliability and processing efficiency.
Solution Approach 2:
The classification system incorporates feedback mechanisms where classification rules are applied based on both document content and applicant attributes, with the ability to refine and adjust classifications. The system uses the interaction between acquired content and stored rules to iteratively improve classification reliability, ensuring accurate account title assignment while maintaining efficient processing through rule-based automation.
Data Source
AI summary
An information processing apparatus includes a storage unit that previously stores a classification rule corresponding to an attribute of an applicant, an acquisition unit that acquires content of an electronic document from an image of the document, and a setting unit that reads the classification rule corresponding to the attribute of the applicant of the document from the storage unit, and sets a classification item of the document based on the content of the document, which is acquired by the acquisition unit, and the classification rule which is read from the storage unit.


