Dialogue text generation method and related device

The user sentiment categories are determined through dialogue channels and user behavior data, and the generative model is input to generate dialogue text, which solves the problems of large manpower investment and high operational costs in the process of resource return, and improves the accuracy and flexibility of dialogue text.

CN119691156APending Publication Date: 2025-03-25MASHANG CONSUMER FINANCE CO LTD
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Patent Information

Application Number
CN202411505959.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-25
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

In resource service agencies, due to the huge and dispersed number of businesses to be returned during the resource return process, a large amount of manpower is required, which increases operational costs and poses challenges to the efficiency and status of service users.

Method used

Through a dialogue text generation method, the user's emotional category is determined based on the dialogue data generated in the dialogue channel and user behavior data, and the user behavior data, dialogue channel, emotion category and task prompt word are input to the generation model for dialogue text generation to obtain the dialogue text.

Benefits of technology

It improves the accuracy and effectiveness of dialogue text, makes the generated dialogue text more appropriate to the user, conforms to the user's emotional demands, and adapts to the characteristics of different dialogue channels, improving the flexibility of dialogue text.

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Abstract

The embodiment of the invention provides a dialogue text generation method and device.The dialogue text generation method comprises the steps that according to a dialogue channel of a first dialogue and dialogue data generated in user behavior data, the emotion category of a user for each round of dialogue is determined, and inputting the user behavior data, the dialogue channel, the emotion category of each round of dialogue and the task cue word into a generation model to generate a dialogue text to obtain the dialogue text. By adopting the embodiment of the invention, the accuracy and effectiveness of the generated dialogue text can be improved.
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