Dialogue Guidance System Sentiment Detection
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Solution Overview
Problem
Humans face challenges in accurately determining the sentiment and disposition of audiences during discourse, leading to inefficient communication due to unreliable human-based methodologies and emotional biases, which can result in misjudging audience sentiments and dispositions.
Innovation Solution
A system and method for sentiment detection and dialogue guidance that processes visual and audio data using Natural Language Processing (NLP) and Computer Vision (CV) to identify audience sentiments and dispositions, providing real-time guidance by adjusting dialogue forms, vocabulary, and evidence standards based on demographic, dynamic, and social media information to enhance persuasiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human-based methodologies are used to ascertain sentiment and disposition, then flexibility and adaptability are maintained, but reliability and measurement precision deteriorate due to emotional biases and unreliability
Solution Approach 1:
The patent replaces human-based sentiment assessment with automated computational systems using natural language processing and data analysis. The system processes communication data, social media information, and demographic data algorithmically to identify sentiment and disposition, eliminating emotional biases inherent in human judgment while maintaining consistent, reliable measurements across all interactions.
Solution Approach 2:
The patent introduces an automated analysis system as an intermediary between communication participants. This intermediary processes raw communication data and social media information to generate objective sentiment and disposition assessments, which then guide dialogue adjustments without requiring direct human emotional interpretation.
2Productivity
If real-time sentiment detection and dialogue adjustment is implemented, then communication effectiveness and persuasiveness are improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary analysis of demographic information, social media data, and communication patterns before the actual dialogue occurs. By pre-processing and storing relevant data about participants, the system can quickly retrieve and analyze information during real-time interactions, reducing processing time while maintaining comprehensive analysis capabilities.
Solution Approach 2:
The patent applies different levels of analysis depth to different aspects of sentiment detection. Rather than uniformly analyzing all data at maximum detail, the system adjusts analysis intensity based on the specific context, participant type, and communication stage, optimizing processing efficiency while maintaining accuracy where most critical.
3Measurement precision
If comprehensive data processing including social media and demographic information is used, then sentiment detection accuracy is improved, but data privacy concerns and system complexity increase
Solution Approach 1:
The patent extracts only the specific data elements necessary for sentiment detection from comprehensive data sources. Rather than processing all available social media and demographic information, the system identifies and extracts only those specific data points directly relevant to sentiment and disposition assessment, reducing privacy exposure while maintaining detection accuracy.
Data Source
AI summary
Various aspects of the subject technology relate to a dialogue guidance system. The dialogue guidance system is configured to receive input data captured from a communication event among at least a first participant and a second participant. The input data may include one or more of text data, audio data, or video data. The dialogue guidance system is configured to identify, based on the input data, one of a sentiment or a disposition corresponding to the communication event, determine dialogue guidance for the first participant based on one of the sentiment or the disposition, and provide the dialogue guidance to the first participant.