Document Analysis Using Integrated Topic and Format Feature Values
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Solution Overview
Problem
Conventional document analysis technologies face challenges in achieving high accuracy, particularly when dealing with new topics or documents that require input of additional reference documents for background topic word extraction.
Innovation Solution
An information processing device extracts both topic and format information from the same document data, calculating feature values for each and integrating them to enhance analysis accuracy without needing additional documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If background topic words are extracted from reference documents, then document analysis accuracy is improved, but device complexity and processing time increase due to requiring additional documents
Solution Approach 1:
The patent extracts only the necessary topic words from the input document itself, rather than requiring separate reference documents. The topic word extraction unit identifies and extracts topic words directly from the input document, eliminating the need for additional reference documents while maintaining analysis accuracy
Solution Approach 2:
The system uses the input document itself as the source for extracting topic words, making the document self-sufficient for the analysis process. The document provides its own topic words without needing external reference materials, simplifying the overall system architecture
2Measurement precision
If multiple documents are processed to extract topic words, then analysis accuracy is improved, but processing time increases
Solution Approach 1:
The patent extracts topic words directly from the input document in a single processing step, rather than requiring multiple documents to be processed separately. This direct extraction approach reduces processing time while maintaining accuracy by focusing on the essential topic words within the given document
Solution Approach 2:
The system extracts only the necessary topic words from the document rather than processing all content in detail. By selectively extracting only the relevant topic words needed for analysis, the system achieves accurate results more efficiently
Data Source
AI summary
An information processing device includes at least one hardware processor. The hardware processor selects one or more pieces of partial document data from document data. The hardware processor extracts, from the partial document data, first information being a word or a phrase for specifying a first attribute of the partial document data. The hardware processor extracts, from the partial document data, second information being a word or a phrase for specifying a second attribute of the partial document data. The hardware processor calculates a first feature value representing a feature of the first information. The hardware processor calculates a second feature value representing a feature of the second information. The hardware processor analyzes the document data on the basis of the first feature value and the second feature value.