Dialogue emotion recognition method combining character clues and emotion uncertainty
By combining personality cues and emotional uncertainty modeling, pre-trained model and personality detection model are used to construct a dialogue emotion recognition framework, which solves the problem of personality traits and emotional dynamics neglect in traditional methods, and improves the accuracy of dialogue emotion recognition.
Patent Information
- Application Number
- CN202510338153.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-21
- Publication Date
- 2025-07-08
AI Technical Summary
The prior art ignores the speaker's personality traits in dialogue emotions recognition, which makes it difficult to effectively capture emotional dynamics and uncertainties. Traditional methods have limitations in digging deep emotional dynamics clues.
The pre-trained model is used for fine-tuning, combining the bidirectional gating recurrent unit and personality detection model, through personality cues and emotional uncertainty modeling, and using the probability distribution encoder and Markov chain Monte Carlo sampling method, a dialogue emotion recognition framework is constructed to achieve a fusion representation of discourse-level and global personality traits.
It improves the accuracy of dialogue emotions recognition, can identify human emotions more accurately, solves the problem of ignoring personality traits and emotional uncertainty in traditional methods, and provides a more comprehensive background representation.
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Abstract
Citation Information
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