Emotion Reaction Analysis for Content Publication Timing

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Solution Overview

Problem

Existing technologies lack effective methods for analyzing user emotional reactions to content items and predicting engagement and ad-clicking rates based on these reactions, which hinders optimal content management and publication timing.

Innovation Solution

A method and system for analyzing user emotional reactions to content items by clustering content items based on their characteristics and user emotional responses, predicting engagement and ad-clicking rates, and optimizing content publication timing and exposure periods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If content items are published without emotion reaction analysis, then publication process is simple and fast, but engagement and ad-clicking rates cannot be optimized

Engineering Contradiction:

Improveengagement and ad-clicking ratesVSAvoidcontent management system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary analysis of content item characteristics (timing, subject, source, context, style, keywords, images) before publication to predict emotional reactions and engagement rates. This allows optimization of publication strategies in advance without requiring complex real-time emotion detection infrastructure.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary analysis layer that processes content characteristics and predicts emotional reactions through statistical correlation. This intermediary layer bridges the gap between simple content publication and optimized engagement, avoiding the need for direct complex user emotion monitoring while still achieving improved metrics.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If content publication timing is not optimized, then publishing process is simple, but user engagement and ad-clicking rates are reduced

Engineering Contradiction:

Improveuser engagement and ad-clicking ratesVSAvoidoptimal publication time utilization

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system analyzes and optimizes publication timing parameters by correlating them with emotional reactions and engagement metrics. It determines optimal publication times based on statistical patterns in user behavior, transforming time from a simple parameter into a strategically optimized variable that maximizes engagement and ad-clicking rates.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If content items are not clustered by characteristics and emotion reactions, then content management is simple, but prediction of engagement and ad-clicking rates is inaccurate

Engineering Contradiction:

Improveprediction accuracy of engagement and ad-clicking ratesVSAvoidcontent item clustering and analysis system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments content items into clusters based on their characteristics (subject, source, context, style, keywords, images) and emotional reactions. This segmentation enables more precise prediction of engagement and ad-clicking rates by analyzing patterns within homogeneous groups, improving measurement precision without requiring analysis of every individual content item in detail.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system creates representative profiles or copies of content item characteristics and their corresponding emotional reactions. By working with these aggregated representations rather than raw individual data points, the system achieves accurate predictions while reducing the complexity of processing and analyzing each content item individually.

Inventive Principle:

Principle #26Copying

4Productivity

If exposure time of content items is not optimized, then content is easily accessible, but engagement and ad-clicking rates are suboptimal

Engineering Contradiction:

Improveengagement and ad-clicking ratesVSAvoidcontent exposure time

Core Design Contradiction:

ProductivityVSDuration of action of moving object

Solution Approach 1:

The system uses feedback from analyzed emotional reactions and engagement metrics to optimize content exposure time. By continuously monitoring and analyzing user responses, the system adjusts exposure durations to maximize engagement and ad-clicking rates, transforming exposure time from a fixed parameter into a dynamically optimized variable based on actual user behavior feedback.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250131469A1System and Method for Analyzing and Predicting Emotion Reaction

Publication Date: 2025.04.24 EMM INNOVATIONS LLC

AI summary

The present invention is directed to systems and methods for managing content item publication within a communication network and displaying selectable emotion icons. The method of the present invention comprises displaying a plurality of selectable emotion icons on a graphical user interface (GUI) of a computer system, receiving, via the GUI, indications of a plurality of user selections from a plurality of users, processing the plurality of user selections of the emotion icons, determining an amount of use of the plurality of emotion icons using a processor operating software that tracks a frequency with which the plurality of emotion icons have been selected over a period of time and stores the determined amount of use in memory, and creating a visual presentation of emotion reactions using at least the determined amount of use of each of the plurality of emotion icons.