Mood Information Processing for Personalized Messaging
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Solution Overview
Problem
Current terminal devices have a low intelligence degree in sending messages, as they primarily transmit content without considering the mood or emotional context of the message sender, leading to a less personalized and less engaging communication experience.
Innovation Solution
A mood information processing method and apparatus that determines the mood information mode for an application program, acquires mood information of the message sender, and sends this information to the message receiver, allowing for the transmission of mood-related emoticons, special fonts, or background pictures based on the determined mood.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the terminal device sends messages directly based on message content without mood analysis, then the message sending process is simple and fast, but the intelligence degree and personalization of message sending is low
Solution Approach 1:
The terminal device performs preliminary mood analysis on the message sender before message transmission. The mood analysis module analyzes the message content, sender information, and communication context in advance to determine the sender's mood state, then selects appropriate emoticons or expressions to represent this mood. This preliminary action enhances the intelligence of message sending without significantly increasing operational complexity.
Solution Approach 2:
The patent introduces a mood analysis module and emoticon selection module as intermediary components between the message sending function and the actual transmission. These intermediaries process the message content and sender context to generate mood-appropriate emoticons, which are then attached to the message. This intermediary approach adds intelligence while maintaining a manageable system structure.
2Adaptability or versatility
If the terminal device incorporates mood information analysis and emoticon selection, then the personalization and emotional relevance of messages is improved, but the message sending process becomes more complex
Solution Approach 1:
The message sending system is segmented into distinct functional modules: a mood analysis module that analyzes message content and sender context, an emoticon selection module that selects appropriate emoticons based on analyzed mood, and a message transmission module that sends the final message. This segmentation allows each module to perform its specific function independently, enhancing personalization while keeping the overall system complexity manageable through modular design.
Solution Approach 2:
The mood analysis module is designed to handle multiple types of input data (message content, sender information, communication context) and generate various types of mood representations (emoticons, expressions). This multi-functional capability allows the system to adapt to different messaging scenarios and senders without requiring separate specialized components for each case, thus improving versatility while controlling complexity.
Data Source
AI summary
Embodiments of the present invention disclose a mood information processing method and apparatus. The method includes: first determining a mood information mode that corresponds to an application program, acquiring mood information of a message sender if the mood information mode that corresponds to the application program is transmitting a mood or correcting a mood, and then sending the mood information of the message sender to a message receiver. The embodiments of the present invention are applicable to outputting mood information of a user in an application program.