Information Processing Device for Document Clustering and Graph Generation
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Solution Overview
Problem
Business intelligence tools face difficulties in analyzing document groups with freely described documents, as they are designed to handle predetermined forms, leading to the display of meaningless analysis results and inability to provide new insights or reveal unknown trends, requiring specialized knowledge for method definition and query operations.
Innovation Solution
An information processing device that clusters key phrases from document groups, calculates scores for the usefulness of information displayed in graph images, and selects clusters for display based on these scores, allowing for the generation and display of graph images that highlight important features and trends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a BI tool handles documents with a predetermined form, then it can display analysis results in a dashboard manner, but it cannot analyze document groups with freely described documents
Solution Approach 1:
The patent changes the parameter of document structure from fixed predetermined forms to variable free-text formats. The analysis system adapts to different document types by dynamically adjusting analysis parameters and methods based on the input document characteristics, enabling versatile handling while maintaining reliable analysis results through adaptive parameter optimization
Solution Approach 2:
The patent introduces dynamic adaptability where the BI tool can dynamically adjust its analysis methods and parameters based on the document type and content. This dynamic capability allows the system to transition from static predetermined form handling to flexible free-text analysis, resolving the contradiction between versatility and reliability
2Productivity
If a BI tool displays analysis results analyzed by a predefined method, then it can simultaneously display multiple analysis results in a dashboard manner, but it displays analysis results meaningless to a user
Solution Approach 1:
The patent implements self-service through automatic relevance assessment where the system autonomously evaluates and ranks analysis results based on user context and document characteristics. This self-service mechanism filters out meaningless results while maintaining high processing efficiency, allowing the system to automatically prioritize useful information without manual intervention
Solution Approach 2:
The patent introduces feedback loops where user interactions with analysis results are continuously monitored and used to refine the relevance assessment algorithm. This feedback mechanism enables the system to learn from user behavior patterns and improve the selection of meaningful results over time, resolving the contradiction between processing efficiency and information usefulness
3Stability of the object's composition
If a BI tool displays analysis results analyzed from a fixed viewpoint, then it can maintain consistent analysis framework, but it is difficult to give a new awareness to a user or to make a user to grasp an unknown tendency
Solution Approach 1:
The patent applies dynamics by enabling the analysis framework to transition from fixed viewpoints to multiple adaptive perspectives. The system dynamically selects and switches between different analysis viewpoints based on document characteristics and user needs, maintaining framework consistency through structured methodology while providing new insights through flexible perspective adaptation
Solution Approach 2:
The patent implements multi-functionality by designing an analysis framework that can perform multiple types of analysis from different viewpoints using a unified system architecture. This universal framework maintains structural consistency while adapting to provide diverse analytical perspectives, enabling both stability and versatility simultaneously
4Measurement precision
If a BI tool requires a user to operate query languages and interfaces to define a method for analysis, then it can provide precise analysis control, but it requires specialized knowledge from the user
Solution Approach 1:
The patent implements self-service through automatic analysis method selection where the system autonomously determines the appropriate analysis methods and parameters based on document characteristics and user requirements. This eliminates the need for users to manually operate complex query languages while maintaining precise analysis control through the system's intelligent decision-making capabilities
Solution Approach 2:
The patent introduces an intermediary layer between the user and the complex analysis system. This intermediary automatically translates user-friendly requests into precise analysis operations, shielding users from the complexity of query languages and interfaces while maintaining measurement precision through sophisticated backend processing
Data Source
AI summary
According an embodiment, an information processing device includes a memory and one or more processors coupled to the memory. The one or more processors are configured to: cluster key phrases extracted from a document group to generate clusters each including items; extract a sub-document group corresponding to a specified key phrase from the document group; calculate a score for each of the clusters, the score indicating usefulness of information displayed in a graph image that indicates an amount of information for each of the items in the sub-document group; select clusters to be displayed whose scores are from a highest ranking to a predetermined ranking, among the clusters; and generate the graph image of each of the clusters to be displayed.