Sentiment Analysis System for Predicting Event Delays

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Solution Overview

Problem

Conventional communication applications lack the ability to analyze sentiment from human messages in conversation threads and automatically update other applications with this information, leading to potential delays and inefficiencies due to human error and format incompatibilities.

Innovation Solution

A system that performs sentiment analysis on posts in a conversation thread using a machine learning model, identifies predicted delays, and automatically updates other applications by transforming data formats to ensure compatibility, thereby enhancing communication efficiency and reducing human error.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual updating of other applications by members is used, then information can be shared between applications, but human error and time loss occur during the updating process

Engineering Contradiction:

Improveaccuracy of information updateVSAvoidtime for updating process

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The communication application automatically performs sentiment analysis on posts and updates other applications without human intervention. The system serves itself by monitoring its own conversation threads and autonomously transferring relevant information to connected applications, eliminating the need for manual updates by members.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent introduces an intermediary sentiment analysis system that acts as a bridge between the communication application and other applications. This intermediary automatically analyzes posts, determines sentiment, and transfers information to relevant applications, resolving the contradiction by automating the update process while maintaining accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If data transformation is performed to enable transfer from separate application, then data can be shared between applications, but format incompatibility and complexity increase

Engineering Contradiction:

Improvedata compatibility between applicationsVSAvoiddata transformation complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The sentiment analysis system is designed to work with multiple different applications and data formats simultaneously. It performs universal sentiment analysis on posts regardless of their source application, and can output results in formats compatible with various target applications, reducing the need for complex custom transformation logic for each application pair.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12300109B1Frontline collaboration system for automatically posting a notice to a conversation thread

Publication Date: 2025.05.13 AMERICAN AIRLINES INC

AI summary

A method that includes generating, using a communication application, a conversation thread so that the conversation thread is displayed on a user interface to members of the conversation thread, with the conversation being associated with an event that has an expected event timeline and the members being associated with the event. The method includes posting, using the communication application, a member post and an automated post to the conversation thread, performing sentiment analysis, using a machine learning model, of the member post; identifying, based on the sentiment analysis and the automated post, a predicted delay to the expected event timeline; sending, to the communication application and from the machine learning model, a predicted delay notice; receiving, by the communication application, the predicted delay notice; and automatically posting, using the communication application and in response to the receipt of the predicted delay notice, the predicted delay notice to the conversation thread.