Document Analytics System for Dynamic Relevancy Matrix Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current document search and analysis systems are inefficient in quickly identifying relevant documents and assessing their relevancy, especially when dealing with large numbers of documents, as they often require manual analysis of entire documents rather than specific sections, and lack tools for dynamic refinement of search parameters.
Innovation Solution
A document analytics system comprising an analysis engine and a search engine that includes modules for parsing keywords, generating dynamic relevancy matrices, and providing user interfaces for viewing keyword locations and differences, allowing for the identification of associated keywords and dynamic refinement of search parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of entire documents is performed, then comprehensive document understanding is achieved, but analysis time and effort increase significantly
Solution Approach 1:
The patent extracts and highlights specific sections containing keywords from documents, allowing users to focus only on relevant portions rather than reading entire documents. The system identifies and presents only the sections that contain search terms, effectively extracting useful information from the whole document.
Solution Approach 2:
The patent divides documents into searchable sections and highlights specific segments containing keywords. By segmenting the document analysis into keyword-containing sections versus the rest of the document, the system enables users to quickly assess relevance without processing the entire document text.
2Quantity of substance
If keyword search is performed across large numbers of documents, then comprehensive search coverage is achieved, but search efficiency decreases
Solution Approach 1:
The patent performs preliminary indexing and section identification on documents before the actual search. Documents are pre-processed to identify sections, headings, and potential keyword locations, so that when a search is executed, the system can quickly retrieve and highlight relevant sections without re-analyzing the entire document structure.
3Measurement precision
If detailed document comparison tools are provided, then analysis precision is improved, but system complexity increases
Solution Approach 1:
The patent extracts and presents only the differing sections between documents rather than displaying entire documents for comparison. By taking out and highlighting only the portions that differ, the system provides detailed comparison capabilities while keeping the user interface simple and focused on relevant differences.
Data Source
AI summary
A system and method dynamically analyzes documents to determine the relevancy of a document relatively quickly and efficiently. Potentially relevant documents can be determined using a search string and then converted into corresponding document data structures for analysis. Keywords can be used to identify documents of interest from the document data structures. Tools are provided to assess the relevancy of documents, including tools to determine the frequency of keywords in the documents, to compare documents, and to contrast documents. Algorithms are provided that use prior searches to determine sets of relevant documents. Adaptive search methods are provided that refine searching during analysis to reduce a number of documents that are not sufficiently relevant. A dynamic relevancy matrix can be generated that provides access to keyword frequency and associated keyword frequency for a plurality of documents.