Context-Aware Message Intent Checker for Text-Image Mismatches

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Solution Overview

Problem

Conventional spell and grammar checkers fail to effectively address contextual mismatches in message content, leading to suboptimal correction suggestions, as they do not consider non-textual elements like images, emojis, or location settings.

Innovation Solution

A system that processes both textual and non-textual parts of a message, using content context extraction and intent/entity identification to flag potential mismatches and provide corrective suggestions, incorporating device context, image recognition, and natural language processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional spell and grammar checkers are used, then the checking process is simple and fast, but the accuracy of correction suggestions deteriorates because contextual elements are not considered

Engineering Contradiction:

Improveaccuracy of correction suggestionsVSAvoidcomplexity of message processing system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The message is segmented into multiple components: textual parts, non-textual parts (images, emojis, location settings), and device context. Each segment is processed separately by dedicated modules that extract specific features, and then the results are integrated to provide contextually accurate correction suggestions.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system merges multiple processing streams including text analysis, image recognition, emoji interpretation, location context analysis, and device setting evaluation into a unified context-aware checking system that produces integrated correction suggestions.

Inventive Principle:

Principle #5Merging (Combining)

2Reliability

If only textual parts of the message are processed, then the processing speed is fast, but the relevance of correction suggestions deteriorates due to lack of contextual awareness

Engineering Contradiction:

Improverelevance of correction suggestionsVSAvoidtime for message processing

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary extraction of context elements (images, emojis, location, device settings) before the actual spell and grammar checking process. This allows the checking algorithms to access pre-extracted contextual information, reducing the overall processing time while maintaining high relevance of suggestions.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Context extraction modules act as intermediaries between the raw message components and the spell/grammar checking algorithms. These intermediaries process and structure contextual information (such as identifying objects in images or interpreting emoji meanings) so that the checking algorithms can efficiently use this pre-processed information without direct complex analysis.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11373039B2Content context aware message intent checker

Publication Date: 2022.06.28 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

In an approach for providing an enhancement to message check capabilities through an awareness of the message content, a processor processes a message that includes a non-textual part and a textual part. A processor identifies a content context of the non-textual part of the message. A processor identifies an intent and entity of the textual part of the message. A processor determines a potential mismatch between the content context of the non-textual part and the intent and entity of the textual part. A processor provides a suggested replacement for the potential mismatch.