Document Analysis Device Event Impact Index
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Solution Overview
Problem
Existing methods for analyzing the impact of a specific event on an analysis subject are inaccurate due to the inclusion of assessment information unrelated to the event, leading to incorrect measurements of the event's impact on the analysis subject.
Innovation Solution
A document analysis device and method that identifies and selects common assessment information from analysis subject documents and event-related documents, separately counting its occurrences before and after the event to derive an impact index, thereby isolating relevant impact information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional assessment information extraction techniques are used to count all assessment information in analysis subject documents, then the quantity of assessment information is increased, but the measurement precision of event impact is deteriorated due to inclusion of irrelevant information
Solution Approach 1:
The patent segments assessment information into two distinct categories: (1) assessment information extracted from event-related documents that directly relates to the specific event, and (2) assessment information extracted from analysis subject documents that relates to the analysis subject. By segmenting and separately counting these two types of assessment information, the patent enables precise measurement of event impact while maintaining sufficient quantity of data for statistical reliability.
Solution Approach 2:
The patent extracts and isolates the specific component of assessment information that is relevant to the event by identifying assessment information that appears in both event-related documents and analysis subject documents. This extraction process separates the event-specific assessment information from general assessment information, thereby improving measurement precision without losing valuable data.
2Productivity
If assessment information from all analysis subject documents is counted without differentiation, then the productivity of analysis is improved, but the reliability of impact analysis is deteriorated due to inclusion of unrelated events' assessment information
Solution Approach 1:
The patent performs preliminary action by first extracting and storing assessment information from event-related documents before analyzing analysis subject documents. This preliminary extraction creates a reference set of event-specific assessment information that is used to filter and identify relevant assessments in the subsequent analysis of analysis subject documents, ensuring reliability while maintaining productivity.
Solution Approach 2:
The patent introduces an intermediary mechanism - a reference set of assessment information extracted from event-related documents - that mediates between the large volume of analysis subject documents and the specific event being analyzed. This intermediary enables efficient filtering and identification of relevant assessment information, maintaining both productivity and reliability.
3Adaptability or versatility
If the scope of assessment information is expanded to include all documents, then the adaptability of analysis is improved, but the loss of information is increased due to mixing of event-specific and general assessment information
Solution Approach 1:
The patent applies local quality by treating different types of assessment information with different analytical treatments. Event-specific assessment information (identified through the intersection of event-related and analysis subject documents) is counted and analyzed separately from general assessment information. This localized differentiation preserves the unique characteristics of event-specific information while still allowing broad adaptability in analysis scope.
Data Source
AI summary
A document analysis device (1) comprises a common assessment information selection unit (90) and an event impact analysis unit (100). The common assessment information selection unit (90) identifies information that matches second assessment information that appears in event-related documents which include descriptions concerning a designated specific event, from among first assessment information that appears in documents for analysis which include descriptions relating to items for analysis, and classifies the information thus identified as common assessment information. The event impact analysis unit (100) counts the number of times the common assessment information appears in the documents that are generated prior to the event occurring, and the number of times the common assessment information appears in the documents for analysis that are generated subsequent to the event occurring, and derives an index that denotes the impact of the specific event upon the documents for analysis, on the basis of the results of the counts thereupon.