Message Tone Evaluation Graph Analysis
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Solution Overview
Problem
Current technologies face challenges in capturing the overall workplace interaction tone and sentiment within organizations, making it difficult to identify and address potential issues or promote a positive atmosphere.
Innovation Solution
A method for message tone evaluation that intercepts messages, extracts text content, performs tone analysis, and updates a graph with tone weightings to provide insights into communication relationships between entities, allowing for the capture of interaction tone and sentiment within an organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tone analysis is performed on individual messages using existing services, then tone detection capability is achieved, but overall organizational interaction tone cannot be captured
Solution Approach 1:
The patent combines multiple individual message tone analyses into a unified organizational view by aggregating tone data across messages and entities. The system merges individual communication tones into departmental, team, and organizational-level tone metrics, enabling comprehensive capture of overall interaction tone while maintaining individual message analysis capabilities.
Solution Approach 2:
The system creates a multi-functional tone analysis platform that operates at multiple levels: individual message analysis, entity-level analysis, departmental analysis, and organizational analysis. This universal system simultaneously provides detailed tone detection for specific messages while capturing broad organizational interaction patterns through a single integrated platform.
2Loss of information
If detailed tone analysis is performed on all messages, then comprehensive insight is obtained, but system complexity increases
Solution Approach 1:
The patent segments the tone analysis system into distinct modular components: message-level tone analysis, entity-level aggregation, departmental analysis, and organizational analysis. Each segment handles a specific level of analysis, reducing overall system complexity by breaking down the comprehensive analysis task into manageable, independent modules that can be executed and managed separately.
Solution Approach 2:
The system adds hierarchical dimensions to the analysis structure, organizing tone data across multiple levels (message → entity → department → organization). This dimensional organization allows comprehensive insight to be obtained through structured aggregation rather than analyzing all messages at once, reducing complexity by imposing a hierarchical framework on the analysis process.
3Reliability
If tone weightings are updated for each message, then real-time communication relationship tracking is achieved, but processing time increases
Solution Approach 1:
The system performs preliminary tone analysis on messages as they are intercepted, extracting tone characteristics and updating entity-level tone weightings in real-time. By conducting this analysis preliminarily and continuously, the system maintains accurate communication relationship tracking without requiring batch processing of all messages, thus reducing overall processing time while maintaining reliability.
Solution Approach 2:
The patent implements continuous tone analysis and updating of communication relationship weightings as messages flow through the system. This continuous action ensures real-time tracking accuracy by constantly updating tone metrics based on incoming messages, rather than periodic batch updates, thereby maintaining reliable communication relationship data without significant time loss.
Data Source
AI summary
A method, computer program product and system for message tone evaluation. A message or a group of messages are retrieved between a sender entity and a recipient entity. Text content for the message or group of messages is extracted and the analysis of the tone of the text content is obtained. A graph is referenced in which nodes represent entities and edges between the nodes have tone weightings for a tone for a communication relationship between the entities. The graph is updated with a tone weighting for the retrieved message or group of messages by setting or updating an edge tone weighting between the nodes for the sender entity and the recipient entity. The graph is analyzed to obtain analysis of one or more entities and the tone weightings of their communication relationships.