Communication Emotion Matrix Visualization by Attribute Category
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Solution Overview
Problem
Existing organizational communication visualization systems fail to depict the emotions of individuals during communication.
Innovation Solution
An information processing method that performs emotion analysis on text information by breaking it down into words or phrases, and visualizes the results using a matrix table with emotional expression-related items in one direction and attribute category-related items in another direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If organizational communication is visualized based on amount of communication and diversity of communication, then communication patterns can be analyzed, but the emotion of persons during communication cannot be visualized
Solution Approach 1:
The patent segments communication information into multiple dimensions: amount of communication, diversity of communication, and emotion. By dividing the visualization into separate axes (communication quantity, diversity, and emotion), the system can capture emotional information without overwhelming complexity, as each dimension is handled independently in the three-dimensional space.
Solution Approach 2:
The patent adds a third dimension (emotion) to the existing two-dimensional visualization (amount and diversity of communication). This dimensional expansion allows emotional information to be visualized simultaneously with communication metrics, transforming the analysis from 2D to 3D space and capturing previously missing emotional context.
2Measurement precision
If emotion analysis is performed on text information by breaking it down into words or phrases, then emotional expressions can be identified, but the complexity of text processing increases
Solution Approach 1:
The patent performs morphological analysis to break down text into words and phrases, then segments these into emotional expression categories. This segmentation approach enables precise emotion detection by analyzing individual linguistic units rather than treating text as a whole, improving measurement precision while managing complexity through systematic division of the processing task.
Solution Approach 2:
The patent transforms text information into emotional expression parameters by analyzing word and phrase characteristics. This parameter transformation converts unstructured text data into structured emotional metrics that can be visualized, changing the state of the data from raw text to quantifiable emotional attributes.
3Ease of operation
If a matrix table is formed with emotional expression-related items and attribute category-related items, then emotion analysis results can be visualized systematically, but the complexity of data organization increases
Solution Approach 1:
The patent organizes emotion analysis results into a matrix table that segments data by emotional expression types and attribute categories. This segmentation creates a structured visualization where rows represent emotions and columns represent attributes, making it easier to interpret emotional patterns while systematically organizing the underlying data structure.
Solution Approach 2:
The matrix table structure serves multiple functions simultaneously: it visualizes emotional expressions, categorizes attributes, and enables comparative analysis across different dimensions. This multi-functional design improves ease of operation by providing a comprehensive view in a single structured format.
Data Source
AI summary
An information processing method includes: obtaining, as text information, information related to communication by a person; performing emotion analysis on a plurality of words or phrases after breaking down the text information into the plurality of words or phrases by performing morphological analysis on the text information; and visualizing an analysis result of the emotion analysis according to each row and column of a matrix table by forming the matrix table by arranging, in a first direction, a plurality of emotional expression-related items that represent human emotions and arranging, in a second direction, an attribute category-related item that indicates an attribute of the person or an organization.