Dialogue-based emotion adjustment method and system

An adjustment method and emotion technology, applied in the field of data processing, can solve the problem of not being able to accurately analyze and adjust people's emotions, etc.

Active Publication Date: 2020-01-17
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a dialogue-based emotion adjustment

Method used

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  • Dialogue-based emotion adjustment method and system
  • Dialogue-based emotion adjustment method and system
  • Dialogue-based emotion adjustment method and system

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Embodiment Construction

[0086] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0087] The embodiment of the present application solves the problem that people's emotions cannot be accurately analyzed and adjusted by providing a dialog-based emotion adjustment method and system, and realizes accurate analysis and adjustment of people's emotions.

[0088] The technical solution in the embodiment of the present application is to solve the above-mentioned technical problems, and the general idea is as follows:

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Abstract

The invention provides a dialogue-based emotion adjustment method and system, and relates to the field of data processing. The method comprises the following steps of: acquiring historical dialogue data and real-time dialogue data of a user; preprocessing the historical dialogue data to obtain an emotion sequence; obtaining emotion transition probability distribution of the user under different emotion stimuli based on the emotion sequence; obtaining a current emotional state based on the real-time dialogue data; processing the emotion transition probability distribution based on a reinforcement learning method to maximize the value of the current emotion state adjusted to a preset target emotion state as a target to obtain a stimulated emotion; and giving the stimulated emotion to the user, so that the user is adjusted from the current emotion state to the preset target emotion state. The emotion of people can be accurately analyzed and adjusted.

Description

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Claims

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Application Information

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Owner HEFEI UNIV OF TECH
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