Digital Content Labeling via Sentiment Vector Overlay
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Solution Overview
Problem
Current electronic communication methods lack the ability to effectively convey subtle emotional and mental states, leading to misunderstandings and negative impacts on mental health due to the absence of non-verbal cues, and there is a need for personalized, standardized rating of digital content's psycho-emotional effects.
Innovation Solution
A method and system that impose a dynamic sentiment vector on electronic messages by analyzing emotionally-charged language and user emotional states, using AI and machine learning to deliver personalized digital therapeutics and rating digital content based on its psycho-emotional effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If electronic messaging is used for communication, then instant delivery and limitless distance connectivity are achieved, but the ability to convey subtle emotional and mental states is lost
Solution Approach 1:
The patent introduces an intermediary system that analyzes electronic messages and overlays sentiment vectors derived from multiple data sources (message content, user profile, contextual information) to reconstruct emotional and mental state information that would otherwise be lost in text-based communication
Solution Approach 2:
The system transforms the static text message into a dynamic representation by adding sentiment parameters (emotional state, mental state, sentiment score) that change based on the analysis of message content and user context, thereby enriching the communication with emotional dimensions
2Productivity
If electronic messaging is used for communication, then communication efficiency is improved, but harmful misunderstandings and negative mental health impacts increase
Solution Approach 1:
The system implements feedback by analyzing the sentiment and emotional content of messages and providing information back to users about the likely emotional impact and potential misunderstandings, allowing them to adjust their communication approach before sending
Solution Approach 2:
The patent applies preliminary anti-action by proactively identifying and flagging messages that may cause harm or misunderstanding based on sentiment analysis, and suggesting alternative wordings or warnings before the message is sent
3Adaptability or versatility
If digital content is created without therapeutic rating, then content creation freedom is maintained, but personalized digital therapeutics cannot be delivered
Solution Approach 1:
The system enables self-service by allowing digital content to automatically receive therapeutic ratings through automated analysis of content features and meta-tags, without requiring manual intervention from therapists or experts for every piece of content
4Reliability
If user behavior is curtailed through apps or limits, then digital addiction is addressed, but user convenience and accessibility are reduced
Solution Approach 1:
The patent replaces mechanical restriction systems (apps that lock or limit phone usage) with an information-based system that provides users with sentiment and emotional state information, enabling them to make informed decisions about their digital consumption without artificial barriers
Data Source
AI summary
Disclosed is a system and method for labeling digital content based on intended psycho-emotional effect on a viewer in order to provide an advisory prior to viewing comprising the steps of: uploading or stream-initiating a digital content by a viewer; selecting at least one intended psycho-emotional effect from the content based on scraped meta-data tags of the content; and overlaying a digital nutrition label to the digital content corresponding to the scraped psycho-emotional effect from the content, wherein the overlaid label displays at least one of an effect or triggered neurotransmitter associated with the effect in order to provide an advisory to the viewer prior to viewing the labeled digital content.


