Hardware Text Processing Using Entangled Concept Objects
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Solution Overview
Problem
Object Oriented Programming (OOP) techniques lead to inefficiencies in storage and execution due to encapsulated objects, making it difficult to efficiently store and propagate data across multiple objects in software applications, especially in text editor applications.
Innovation Solution
Implementing a text editor object with entangled objects, including nested concept objects and a tenor object, which allows direct access and efficient relation of concept objects, enhancing data storage and execution efficiency by using spin code to transform kind vectors and tenor methods to determine relationships between documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If encapsulated objects are used in OOP, then code organization and modularity are improved, but data storage efficiency and execution speed deteriorate
Solution Approach 1:
The patent segments the text data processing system into distinct concept objects, each representing a specific concept with its own vector space model. This segmentation allows independent processing and optimization of each concept while maintaining overall system organization, resolving the contradiction between modularity and execution efficiency.
Solution Approach 2:
The patent merges multiple concept objects into a unified text data structure that allows efficient access and propagation of data across all concepts simultaneously. This merging enables the system to maintain code organization through individual concept objects while achieving execution speed through unified data access mechanisms.
2Stability of the object's composition
If encapsulated objects are used in OOP, then object independence is improved, but data propagation across objects deteriorates
Solution Approach 1:
The patent introduces a mediator mechanism that enables efficient data propagation between encapsulated concept objects without compromising their independence. This mediator allows concepts to share and access related information through defined interfaces, preventing information loss while maintaining object stability and independence.
3Measurement precision
If spin code transforms kind vectors for each concept object, then concept relationship accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing spin codes for concept transformations. Instead of performing complex vector transformations in real-time, the system pre-processes the computational work and stores the results, thereby maintaining high measurement precision for concept relationships while significantly reducing runtime computational complexity.
Data Source
AI summary
Various examples described herein are directed to systems and methods for processing at least one document. A data store associated with the computing system may store a text editor object. The text editor object may comprise text editing code and a plurality of concept objects. The text editor object may also comprise a tenor object comprising tenor code executable to relate a first set of concept objects of the plurality of concept objects.


