Topic Detection System Using Association Word Templates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies are limited in automatically detecting and tracing related topics and competition topics for a specific topic, failing to analyze complex relationships between topics, requiring manual search and lacking real-time analysis capabilities.
Innovation Solution
A system and method that utilize topic templates and association words to automatically detect and trace related and competition topics, incorporating language analysis, topic ranking, and association word extraction to identify and rank relevant topics, with features like topic type recognition, core property selection, and filtering to provide detailed tracing results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual search methods are used to find related topics, then search accuracy can be controlled, but time consumption increases and real-time analysis capability is lost
Solution Approach 1:
The system performs automatic topic detection and relationship analysis without requiring manual search operations. The topic detection module automatically identifies topics from documents, and the relationship analysis module automatically determines relationships between topics, enabling the system to serve itself rather than requiring user intervention for each search query.
Solution Approach 2:
The patent replaces manual mechanical search processes with automated computational systems. Instead of humans manually searching through documents, the system uses algorithms including topic modeling, keyword extraction, and graph-based relationship analysis to automatically identify topics and their relationships, substituting human cognitive processes with automated computational mechanisms.
2Adaptability or versatility
If basic topic detection is implemented, then simplicity is maintained, but the ability to analyze complex relationships between topics is insufficient
Solution Approach 1:
The system divides the complex task of relationship analysis into separate modular components: topic detection module, keyword extraction module, relationship analysis module, and visualization module. Each module handles a specific aspect of the analysis independently, allowing the system to manage complexity through segmentation while providing comprehensive relationship analysis capabilities.
Solution Approach 2:
The patent introduces intermediary structures such as topic graphs and knowledge graphs that mediate between raw documents and final relationship insights. These intermediate representations organize information in a structured manner, enabling complex relationship analysis without directly processing the full complexity of original documents, thus reducing overall system complexity while maintaining analytical capability.
3Measurement precision
If comprehensive topic templates and association words are used, then detection accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing documents to extract keywords and pre-establishing topic templates before actual detection queries are executed. This preliminary preparation allows the main detection process to operate more efficiently by working with pre-organized data structures rather than processing raw documents in real-time, thus maintaining high accuracy while improving processing speed.
Solution Approach 2:
The system dynamically adjusts detection parameters based on the specific query and document characteristics. Instead of using fixed comprehensive templates for all cases, the system adapts the scope and depth of topic detection based on input parameters, allowing high accuracy when needed while reducing processing time for less critical analyses through parameter optimization.
Data Source
AI summary
A system for detecting related topics and competition topics for a target topic includes an information extracting apparatus configured to create topic templates and association words from documents created online to generate topic templates and association words. The system also includes a related topic detecting apparatus configured to detect and trace related topics and competition topics for the target topic based on the topic templates and the association words.