Document Tag Generation via OCR and LDA Analysis
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Solution Overview
Problem
Existing document storage and retrieval systems face challenges in efficiently organizing and searching large collections of documents, as file names do not adequately convey document content, making it difficult to locate specific documents, especially as the number of documents increases.
Innovation Solution
An image forming apparatus equipped with a control device that includes a character recognizer and a tag generator, which analyzes documents using OCR and LDA to generate tags representing the document's features, allowing for improved organization and retrieval by displaying tags alongside file names, with options to limit tag number and prioritize important tags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If document collection size increases, then storage capacity is improved, but document searchability deteriorates
Solution Approach 1:
The system performs preliminary OCR recognition and tag generation on documents during storage, rather than when search is needed. This advance preparation of metadata (tags representing document features) enables fast retrieval even as document collection grows, resolving the contradiction between storage capacity and searchability
Solution Approach 2:
Tags serve as an intermediary between the full document content and the search interface. Instead of searching through all document text directly, the system uses generated tags as intermediate indicators that represent document features, making search efficient regardless of collection size
2Loss of information
If all document features are displayed, then information completeness is improved, but information overload increases
Solution Approach 1:
The system extracts only the most salient features from documents and displays them as tags, rather than showing all document content or metadata. This selective extraction maintains information completeness for search purposes while preventing information overload in the user interface
Solution Approach 2:
Different documents receive different numbers of tags based on their characteristics and importance. The system applies local quality by varying the level of detail presented for different documents, showing more tags for important documents and fewer for less critical ones, optimizing the balance between completeness and overload
Data Source
AI summary
An image forming apparatus includes a storage device and a control device. The storage device stores a document. The control device includes a processor and functions, through the processor executing a control program, as a character recognizer and a tag generator. The character recognizer analyzes the document stored in the storage device and recognizes characters contained in the document. The tag generator analyzes, based on a recognition result of the character recognizer, a sequence of characters contained in the document and generates a tag expressing a feature of descriptive content of the document.