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Psychological disturbance scene matching method and device based on deep learning algorithm

A scene matching and deep learning technology, applied in the field of psychological distress scene matching, can solve the problems of low selection accuracy, affecting the accuracy and effectiveness of psychological counseling, etc.

Inactive Publication Date: 2020-06-23
浙江连信科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The main purpose of this application is to provide a psychological distress scene matching method and device based on a deep learning algorithm to solve the problem of low selection accuracy in the existing subjective selection of psychological scenes, and affect the accuracy and effectiveness of subsequent psychological counseling sex

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  • Psychological disturbance scene matching method and device based on deep learning algorithm
  • Psychological disturbance scene matching method and device based on deep learning algorithm
  • Psychological disturbance scene matching method and device based on deep learning algorithm

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Embodiment Construction

[0043] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0044] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for...

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Abstract

The invention discloses a psychological disturbance scene matching method and device based on a deep learning algorithm. The method comprises the steps of obtaining corpus information of man-machine interaction conversations in different psychological disturbance scenes, and training the corpus information based on a deep learning algorithm to obtain a psychological disturbance scene matching model; acquiring real-time corpus information when a current user performs human-computer interaction conversations; and automatically matching a corresponding psychological trouble scene for the currentuser based on the real-time corpus information and a psychological trouble scene matching model. The problem that an existing subjective psychological scene selection mode is low in selection accuracyis solved, and accuracy and effectiveness of subsequent psychological counseling are affected.

Description

technical field [0001] This application relates to the technical field of artificial intelligence, in particular, to a psychological distress scene matching method and device based on a deep learning algorithm. Background technique [0002] In recent years, psychological problems have affected the life and work of more and more people. In order to provide psychological counseling and counseling more conveniently and quickly, online psychological counseling and counseling software systems or hardware devices (intelligent robots, etc.) have appeared. In the process of online psychological counseling, in order to improve the accuracy of psychological counseling, various scenes corresponding to psychological distress are provided. The content and logic of the dialogue corresponding to different scenes are different. Users can choose the corresponding scene according to their own needs. , and then provide psychological counseling and counseling according to the selected scene. H...

Claims

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Application Information

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IPC IPC(8): G16H20/70G06N3/04G06K9/62
CPCG16H20/70G06N3/045G06F18/214
Inventor 徐涛
Owner 浙江连信科技有限公司
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