Content Analysis Workflow for Incremental Categorization and Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing document categorization systems are limited by static batch preprocessing, costly and ambiguous, and fail to provide a comprehensive view of dynamic content, siloed user experiences, and inadequate integration with web searches and AI chat prompts.
Innovation Solution
A hybrid method for categorizing and characterizing various content types, including structured, semi-structured, and unstructured documents, providing initial results quickly and evolving over time, with integrated user interfaces for web searches and AI chat prompts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If batch preprocessing is used for document categorization, then comprehensive analysis can be achieved, but the processing time becomes excessively long (minutes to hours or days)
Solution Approach 1:
The patent segments the batch preprocessing into incremental updates. Instead of reprocessing all documents periodically, the system processes documents incrementally as they are added or modified, maintaining categorization accuracy while reducing the time loss from minutes to seconds or minutes for dynamic content.
Solution Approach 2:
The patent transitions from static batch preprocessing to dynamic incremental processing. The system adapts its processing approach based on content type: using faster methods for dynamic consumer content and more thorough analysis for enterprise content, thereby optimizing the balance between accuracy and time.
2Reliability
If document categorization systems focus on traditional documents and emails, then existing content can be well-handled, but newer content types like web pages and chat sessions are excluded, creating siloed views
Solution Approach 1:
The patent implements a universal categorization system that handles multiple content types (traditional documents, emails, web pages, chat sessions, videos, images) through a single integrated framework. This multi-functional approach maintains reliability for established content types while extending adaptability to newer formats, eliminating siloed views and providing comprehensive 360-degree project or topic analysis.
3Measurement precision
If document characterization systems require users to switch to a separate application interface, then detailed analysis can be provided, but the user experience becomes siloed and interrupts workflow
Solution Approach 1:
The patent merges the document characterization capabilities directly into the user's existing workflow applications. Instead of requiring users to switch to a separate analysis interface, the system integrates characterization results directly into the applications users are already using, maintaining analysis depth while ensuring ease of operation and workflow continuity.
4Measurement precision
If mathematical pairwise comparison is used for document categorization, then similarity groups can be formed, but the approach becomes costly and ambiguous
Solution Approach 1:
The patent extracts key characteristics and features from documents to create condensed representations for comparison. Instead of performing full mathematical pairwise comparison of entire documents, the system extracts essential features and compares these extracted elements, maintaining similarity grouping accuracy while dramatically reducing computational complexity and cost.
Data Source
AI summary
Systems and methods for performing content analysis are described. One aspect includes a content analysis system identifying a plurality of content items in one or more content items associated with a user, and performing any combination of a categorization and a tagging on any combination of the content items. The content analysis system may receive a search request from the user, and identify category data and tag data associated with the content items based on the categorizing and tagging. In one aspect, the content analysis system identifies at least one content item responsive to the search request based on the identified category data and tag data, and displays the contents of the identified content items to the user.