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System and device for evaluating psychological state based on text semantic vector model

A vector model, psychological technology, applied in the field of health monitoring and management, can solve problems such as the inability to guarantee the accuracy and objectivity of the results

Active Publication Date: 2019-12-13
北京智能工场科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] However, no matter what kind of solution is above, the user needs to actively participate and cooperate. The accuracy of the detection results depends largely on the user's cooperation and correct rate. The above-mentioned schemes cannot be processed, and the accuracy and objectivity of the results cannot be guaranteed.

Method used

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  • System and device for evaluating psychological state based on text semantic vector model
  • System and device for evaluating psychological state based on text semantic vector model
  • System and device for evaluating psychological state based on text semantic vector model

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Embodiment Construction

[0059] In order to further illustrate the various embodiments, the present invention provides accompanying drawings, which are part of the disclosure of the present invention, and are mainly used to illustrate the embodiments, and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments, for reference Those of ordinary skill in the art should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0060] see figure 1 , a system for assessing mental state based on a text semantic vector model of the present embodiment, the system includes a text data acquisition module, a text data analysis module, a text data vectorization module, a psychological test model construction module and a result analysis module;

[0061] The text data...

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Abstract

The present invention proposes a system and device for evaluating a psychological state based on a text semantic vector model. The system and device evaluate the psychological state based on the textsemantic vector model, do not require a user to answer questions or have an face-to-face interview with the user, but to analyze the mood text of the user or talk about the psychological state of theuser. Such method cannot cause pressure on the user and can obtain the latest real psychological state of the user. Finally, an evaluation result and a corresponding countermeasure and suggestion canbe obtained through text analysis. Thus, the user can intuitively understand his / her current psychological state, and makes self-adjustment according to the suggestion or even seeks for medical treatment in order to achieve a psychological health state.

Description

technical field [0001] The invention belongs to the technical field of health monitoring and management, and in particular relates to a system and device for evaluating mental state based on a text semantic vector model. Background technique [0002] With the increasing stress of life in modern society, mental illness is becoming an increasingly common phenomenon. Common mental illnesses include depression, anxiety, and obsessive-compulsive disorder. These mental illnesses not only affect the normal life of the patients, but even cause suicide attempts in severe cases, thus arousing social concern and worry about mental illnesses. According to the report of the World Health Organization, the incidence of depression in the world is about 11%, and it has become the fourth largest disease that endangers human health. By 2020, it may become the second largest disease after heart disease. In my country, the incidence rate of depression is as high as 7%, and due to untimely disc...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/30G06F16/35G06F17/27
CPCG06F16/353G16H50/20G16H50/30
Inventor 王冲冲任永亮杨菲张佳李嘉懿贺同路龚友三
Owner 北京智能工场科技有限公司
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