Practical Programs to Enhance Emotional Perception
Virtual companions need to dynamically understand user mood changes, and Memobase offers three levels of optimization:
- emotional labeling system: Add a sentiment tag field to the dialog data, for example:
{"role": "user", "content": "今天工作压力大", "emotion": "stressed"} - Time Perception Analysis: Compare sentiment labeling data across time to identify changing trends
- Portrait evolution mechanism: automatically triggered when a sustained change in emotional state is detected
update_user()Updating the Emotional Portrait
Advanced Tips:
1. Enhancing the quality of raw data in conjunction with sentiment analysis APIs
2. Set up sensitive word triggers to highlight specific keywords (e.g., "sad", "happy").
3. Regular useget()Methods to check the emotional coherence of historical dialogues
This answer comes from the articleMemobase: a user profile-based long-term memory solution for AI applicationsThe
May not be reproduced without permission:AI productivity tools " How to optimize the ability of virtual companion AI to perceive changes in user emotions?
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