Semantic Emoji Input via Emotion Classification Model
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Solution Overview
Problem
Traditional emoji input methods are time-consuming and inefficient, requiring users to search through numerous emoji libraries and packages, limiting the diversity and timeliness of emoji usage in chat applications, and often necessitating multiple downloads and updates across different platforms.
Innovation Solution
A semantic understanding based emoji input method that analyzes user input text to determine emotion labels and matches them with corresponding emojis from a vast resource database, providing users with relevant and diverse emoji options directly in the input interface, eliminating the need for manual package management and updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually search through multiple emoji libraries and packages to find desired emojis, then emoji diversity and customization are improved, but input time and operational complexity increase significantly
Solution Approach 1:
The system pre-establishes a comprehensive emoji resource database that aggregates emojis from multiple third-party packages and platforms before user input. This preliminary organization of emoji resources enables instant retrieval based on semantic analysis, eliminating the need for users to manually search through multiple packages during actual input operations.
Solution Approach 2:
The patent introduces an emotion classification model as an intermediary between user text input and emoji selection. The model performs semantic analysis on input text to determine emotion labels, which then automatically map to corresponding emojis from the pre-established database. This intermediary process replaces manual searching with automated, context-aware emoji recommendation.
2Adaptability or versatility
If users download and install multiple third-party emoji packages to access diverse emoji themes, then emoji variety is improved, but device storage requirements and operation complexity increase
Solution Approach 1:
The system creates a universal emoji resource database that consolidates functionality across multiple third-party packages and platforms. Instead of requiring separate package installations for different emoji themes, the database provides unified access to diverse emoji collections, making the system multi-functional without increasing user-side complexity.
Solution Approach 2:
The patent implements a centralized emoji resource database that stores copies of emoji resources from multiple sources. Users access emojis through this central database rather than installing multiple packages, effectively copying the essential emoji data into a manageable, unified structure that eliminates package management overhead.
3Reliability
If emoji packages are updated across different platforms to maintain current content, then emoji relevance is improved, but frequency of downloads and network resource consumption increase
Solution Approach 1:
The system pre-establishes a comprehensive emoji resource database that aggregates emojis from multiple third-party packages and platforms before user input. This preliminary organization of emoji resources enables instant retrieval based on semantic analysis, eliminating the need for users to manually search through multiple packages during actual input operations.
4Ease of operation
If simple emoticons are provided with basic input methods, then ease of input is improved, but emoji richness and user engagement decrease
Solution Approach 1:
The patent introduces an emotion classification model as an intermediary between user text input and emoji selection. The model performs semantic analysis on input text to determine emotion labels, which then automatically map to corresponding emojis from the pre-established database. This intermediary process replaces manual searching with automated, context-aware emoji recommendation.
Data Source
AI summary
The present disclosure provides a semantic understanding based emoji input method and device, and relates to the input method technology field. The method includes: obtaining a text content according to an input sequence; performing word segmentation on the text content, and extracting text features based on the word segmentation result; constructing an input vector using the text features, performing classification using an emotion classification model to determine an emotion label of the text content; based on a correspondence relationship between the emotion label and emojis of various themes, respectively obtaining an emoji corresponding to the emotion label from each of the various themes; sorting the obtained emojis of the various themes, and displaying the sorted emojis as candidate options in a client. The disclosed invention facilitates users to input an emoji, enhances emoji input efficiency, and provides users with rich and wide scope of emoji resources.


