Attitudinal Mindset Mapping via Cartesian Coordinate System
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Solution Overview
Problem
Current linguistic analysis technologies, such as Sentiment Analysis and Opinion Analysis, are limited by their one-dimensional approach, unable to simultaneously analyze multiple subjective continua like desirability and affiliation, restricting their ability to process all subjective words and failing to provide a comprehensive understanding of the underlying attitudinal mindset from text.
Innovation Solution
A system and method that maps subjective words onto a Cartesian coordinate system, using independent variables of 'expectations of change' and 'perception of control' to analyze and interpret the attitudinal mindset, distinguishing between objective and subjective words, and employing a computer program to perform multivariate analysis for demographic, geographic, and metric distributions, thereby providing a representative signature of the writer's or speaker's mindset.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If one-dimensional sentiment analysis is used, then the analysis process is simple, but it cannot simultaneously analyze multiple subjective continua like desirability and affiliation
Solution Approach 1:
The patent transitions from one-dimensional sentiment analysis to two-dimensional attitudinal mapping by introducing independent variables (expectations of change and perception of control) that create a Cartesian coordinate system. This dimensional expansion enables simultaneous analysis of multiple subjective continua including desirability, affiliation, challenge, and acceptance, resolving the contradiction between analytical versatility and system complexity.
Solution Approach 2:
The attitudinal mapping system serves multiple functions: it maps subjective words to coordinate positions, analyzes demographic distributions, examines geographic patterns, and evaluates metric relationships all within a single unified framework. This multi-functionality allows the system to handle various types of subjective analysis simultaneously without requiring separate systems for each function.
2Loss of information
If traditional linguistic analysis is used, then processing is straightforward, but it fails to provide comprehensive understanding of underlying attitudinal mindset
Solution Approach 1:
The patent segments the analysis process into distinct functional components: word parsing to distinguish objective and subjective words, coordinate association to map subjective words to positions on the attitudinal map, and multivariate analysis to examine demographic, geographic, and metric distributions. This segmentation allows comprehensive attitudinal understanding while maintaining manageable system complexity through modular processing.
Solution Approach 2:
By introducing the two-dimensional attitudinal map with independent variables (expectations of change and perception of control) as new analytical dimensions, the system captures comprehensive attitudinal mindset information that traditional linear analysis misses. These additional dimensions enable the system to preserve and analyze nuanced attitudinal information without overwhelming complexity.
3Measurement precision
If subjective words are mapped onto a Cartesian coordinate system with multiple variables, then comprehensive attitudinal analysis is achieved, but the system complexity increases
Solution Approach 1:
The patent changes the parameters of linguistic analysis by transforming subjective words into coordinate pairs (x, y) based on their positions on the attitudinal map. This parameter transformation enables precise measurement of attitudinal nuances through quantitative coordinate values while managing system complexity through established mathematical mapping relationships. The system can then perform multivariate analysis on these transformed parameters to achieve comprehensive precision.
Data Source
AI summary
A system and related method for the electronic processing of text onto a two-dimensional coordinate system to analyze the attitudinal mindset associated with the text. The system and related method may also be employed to generate text based on a desired attitudinal mindset to impart. The system includes a computer system embodying functions that enable a user to analyze the text. The system includes one or more functions to parse attitudinal words and objective words and associate two-dimensional coordinates with the subjective words. The system further includes one or more functions for mapping the associated two-dimensional coordinates to show the geographic locations of each attitudinal word of the text in relation to each other attitudinal word of the text. The system decomposes attitudinal words into attitudinal equivalence and reference category and enables the generation of a report of the mindset associated with the analyzed text.