Ideogram Authorization and Sentiment Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current social networking systems lack effective methods for securely sharing and viewing ideograms, with unauthorized users unable to access restricted content and limited personalization in sentiment and expression-based ideogram suggestions.
Innovation Solution
Implementing a system where ideograms can be restricted by user authorization, with sentiment and expression analysis to suggest ideograms based on user history and social network connections, allowing for secure sharing and personalized content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ideograms are restricted by user authorization, then security and access control are improved, but system complexity increases
Solution Approach 1:
The patent introduces an authorization token as an intermediary mechanism between users and ideograms. The token system mediates access control by verifying user permissions without requiring complex real-time authentication checks for each ideogram interaction, thus maintaining security while reducing system complexity
Solution Approach 2:
User authorization status is determined in advance through the token verification process before users can access or interact with restricted ideograms. This preliminary authorization check prevents unauthorized access without requiring complex runtime security checks, simplifying the overall system architecture
2Adaptability or versatility
If sentiment and expression analysis are implemented, then personalization and user experience are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs sentiment and expression analysis on user inputs in advance, before generating ideogram suggestions. By pre-processing the text content and determining the emotional context beforehand, the system can quickly retrieve and present relevant ideograms without performing complex analysis in real-time, thus reducing perceived processing time
Solution Approach 2:
The system analyzes user interactions with suggested ideograms and uses this feedback to refine future suggestions. By learning from user behavior patterns and preferences, the system improves personalization over time without needing to perform increasingly complex analysis on each new input, maintaining efficiency while enhancing adaptability
Data Source
AI summary
Particular embodiments of a method comprise analyzing an image to classify an expression displayed on a face shown in a captured image. Image analysis may include detecting the face in the image, generating a characterization of features of the face, and classifying the expression based on the characterization. The characterization of facial features may be based on benchmark metrics for a particular expression. One or more ideograms (e.g., written characters, symbols or images that represent an idea or thing) may be selected based on the expression. The selection may be based on one or more match scores for the expression. The match scores may be determined based on an ideogram dictionary or an ideogram usage history. The selected ideograms may then be presented, in association with the face, on a screen for the computing device.