Composite Emoji Generation from Speech Context and Sentiment
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Solution Overview
Problem
Current emoji generation systems do not effectively represent user sentiments or intents in real-time communications, especially when speech recognition is used, as they lack the ability to dynamically combine emojis based on context and user input.
Innovation Solution
An emoji generating apparatus that includes an analyzer to acquire context and sentiment information from user utterances and an emoji generator that combines multiple stored emojis to create a new emoji by matching generated tags with stored emoji tags, calculating matching rates, and arranging sub-emojis based on classification and matching rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single stored emoji is used to represent user sentiment, then the system is simple to operate, but the emoji cannot accurately represent complex or nuanced user sentiments and intents
Solution Approach 1:
The patent segments the emoji generation process into multiple independent components: an analyzer that extracts sentiment and context information from user input, a tag generator that creates semantic tags, an emoji selector that matches tags with stored emojis, and a combiner that merges selected emojis. This segmentation allows the system to handle complex sentiment representation through modular processing, resolving the contradiction between accuracy and complexity.
Solution Approach 2:
The patent creates composite emojis by combining multiple individual emojis into a single composite representation. The combiner component merges selected emojis based on their semantic tags and matching rates, producing a composite emoji that captures nuanced user sentiments that cannot be represented by a single emoji. This directly addresses the accuracy requirement while managing complexity through systematic combination rules.
2Measurement precision
If multiple emojis are combined to represent user sentiment, then the emoji representation accuracy improves, but the processing time and system complexity increase
Solution Approach 1:
The patent implements preliminary action by pre-storing multiple emojis with associated semantic tags in an emoji database before runtime. During emoji generation, the system retrieves and matches tags against this pre-organized database, calculating matching rates efficiently. This pre-preparation significantly reduces real-time processing requirements, allowing accurate multi-emoji combination without excessive time loss.
3Adaptability or versatility
If emoji combination is used to represent complex sentiments, then the adaptability to different contexts improves, but the device complexity increases
Solution Approach 1:
The patent creates a universal emoji generation system where the combiner component can handle multiple types of inputs (sentiment analysis results, context information, user preferences) and produce appropriate emoji combinations. The system uses a unified tag-matching mechanism that works across different contexts and sentiment types, providing versatile context adaptability through a single multi-functional framework rather than separate specialized systems.
Data Source
AI summary
An apparatus for generating an emoji includes an analyzer that is configured to, in response to an utterance of a user being input, acquire at least one of context information or information about a sentiment of the user. AN emoji generator generates a new emoji based on emoji generation information including information related to at least two among the context information, the information about the sentiment of the user, and information about an intent of the user corresponding to the utterance. The emoji generator is configured to select a plurality of emojis that match the emoji generation information from among a plurality of stored emojis and combine at least some of the plurality of emojis to generate the new emoji.