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Word embedding method and device for pressure detection

A pressure and detection result technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as low accuracy of pressure detection results

Pending Publication Date: 2022-07-05
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention provides a word embedding method for stress detection, which is used to solve the defects in the prior art that there is no explicit modeling of stress sources and word embedding of stress vocabulary, and the accuracy of stress detection results is low, so as to realize social media Accurate detection of user stress in applications

Method used

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  • Word embedding method and device for pressure detection
  • Word embedding method and device for pressure detection
  • Word embedding method and device for pressure detection

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Embodiment Construction

[0028] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0029] figure 1 A schematic flowchart of the word embedding method for stress detection provided by the present invention is shown. like figure 1 As shown, the word embedding method for stress detection includes:

[0030] S101, acquire target text.

[0031] It can be understood that one of the necessary steps is to obtain the target text for detecting user stress before performing stress detection, where the ta...

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Abstract

The invention provides a word embedding method and device for pressure detection. The word embedding method comprises the steps of obtaining a target text; according to the pressure source comparison task and the pressure emotion comparison task, obtaining a language model based on the pressure source and the pressure emotion; inputting the target text into a language model, and obtaining pressure specific word embedding; and embedding and inputting the pressure specific word into the pressure detection model to obtain a pressure detection result. According to the method, the defects that in the prior art, no explicit modeling pressure source and word embedding of pressure vocabularies exist, and the accuracy of the pressure detection result is low are overcome, and accurate detection of the user pressure in each social media application platform is achieved.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, and in particular, to a word embedding method and device for stress detection. Background technique [0002] Stress is a cognitive and behavioral experience process composed of psychological stressors and psychological stress responses. With the continuous development of the economy and society, people's life rhythm is getting faster and faster, people are facing more and more pressure, and there are more and more types of pressure. Modern medicine shows that stress will weaken human immunity, cause some diseases, and then affect people's physical and mental health. [0003] With the advent of the era of big data and the rapid development of social media, social media application platforms such as WeChat, Weibo and Xiaohongshu have become network media for people to record their daily lives, share information and interact. Text data makes it possible to detect the da...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/247G06F40/279G06F40/30G06N3/04G06N3/08
CPCG06F40/247G06F40/279G06F40/30G06N3/049G06N3/08G06N3/044
Inventor 冯铃王鑫
Owner TSINGHUA UNIV
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