Web Crawler Sentence Classification for GVC Issue Summaries
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Solution Overview
Problem
Existing web crawler systems fail to provide summary services for issue articles affecting the global value chain (GVC) from an economic perspective, limiting companies and economic research institutes' ability to quickly analyze and respond to real-time Internet information and predict economic trends.
Innovation Solution
A web crawler system that crawls and collects English issue articles from major global media, performs sentence classification, selects sentences containing key words of interest, and uses a keyword combination algorithm to generate summaries based on English grammar and sentence structure, predicting risks and providing a summary service for global economic trends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If web crawler systems simply collect and store Internet articles, then data storage capability is improved, but analysis and summary service capability deteriorates
Solution Approach 1:
The patent extracts key information from stored articles by performing sentence classification, selecting sentences containing keywords of interest, and generating summaries. This extraction process transforms raw stored data into valuable analytical insights, resolving the contradiction between data storage capability and analysis service capability.
Solution Approach 2:
The patent introduces an intermediary processing layer including sentence classification modules, keyword matching algorithms, and summary generation engines. This intermediary layer processes raw article data and transforms it into structured summaries, enabling both data storage and analysis capabilities to coexist and function effectively.
2Measurement precision
If web crawler systems manually analyze and summarize articles, then analysis precision is improved, but processing time and labor requirements worsen
Solution Approach 1:
The patent implements self-service through automated sentence classification algorithms, keyword matching systems, and summary generation engines that process articles independently without human intervention. The system classifies sentences, selects relevant information, and generates summaries automatically, achieving both high precision and rapid processing.
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational systems. Natural language processing algorithms, machine learning models, and computational algorithms substitute for human analysts, enabling precise automated sentence classification, keyword identification, and summary generation.
3Quantity of substance
If web crawler systems process all articles without selection, then completeness of information is improved, but relevance to global value chain deteriorates
Solution Approach 1:
The patent applies local quality by differentiating the processing approach for different types of information. The system classifies sentences based on their relevance to global value chain topics, applying selective processing and weighting to ensure that locally relevant information (articles and sentences related to GVC) receives appropriate attention while filtering out unrelated content.
Solution Approach 2:
The patent segments the article processing into distinct stages: sentence-level classification, keyword matching, relevance assessment, and summary generation. This segmentation allows the system to process complete information while simultaneously filtering for relevance through multiple sequential filtering stages that preserve GVC-related information.
Data Source
AI summary
A web crawler system that crawls Internet articles and provides a summary service of issue articles affecting GVC includes a user terminal provided with a web agent that crawls and collects English issue articles of overseas media outlets, searches keywords, and displays a summary of overseas media issue articles; and an overseas issue article summary web crawler system that crawls English issue articles of the overseas media by the web agent to store multiple news article lists/articles classified by article titles in a DB, after sentence classification (SC) on the issue articles, selects sentences containing or related to key words of an item of interest in the issue articles, extracts words from each sentence, and provides a summary of overseas media issue articles that affect global value chain (GVC).