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Semi-automatic tectonic medical aesthetic inquiry guiding method and system

A guiding system and semi-automatic technology, applied in medical automated diagnosis, medical informatics, network data indexing, etc., can solve problems such as inability to understand customer semantics, bluntness, etc.

Inactive Publication Date: 2020-05-19
XIAMEN KUAISHANGTONG TECH CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The content of this form of dialogue will be relatively blunt, and cannot understand customer semantics

Method used

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  • Semi-automatic tectonic medical aesthetic inquiry guiding method and system
  • Semi-automatic tectonic medical aesthetic inquiry guiding method and system
  • Semi-automatic tectonic medical aesthetic inquiry guiding method and system

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Embodiment Construction

[0032] Such as figure 1 Shown is the process of constructing a semi-automatic guidance method for medical aesthetic consultation in the present invention. The present invention is a robot consultation mechanism based on theme scenes, which understands visitor semantics, leads the dialogue process, and helps the robot obtain more visitor information for further improvement. Accurate symptom analysis. Specifically include:

[0033] (1) Extract dialogue data from 1-2 hospitals in different cities;

[0034] (2) Extract customer service answering words;

[0035] (3) Crawl (1) plastic surgery project information on the official website of the hospital of traditional Chinese medicine through crawlers, and count common projects;

[0036] (4) The dialogue is classified according to the project; wherein, the dialogue data containing multiple items in a dialogue is removed, because the dialogue volume is large, and removing some dialogue data has no effect;

[0037] (5) For each type...

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PUM

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Abstract

The invention discloses a semi-automatic tectonic medical aesthetic inquiry guiding method. The method comprises the following steps: S1, obtaining dialogue data of at least two hospitals; s2, extracting customer service reply verbal skills in the step S1, wherein the customer service reply verbal skills comprise inquiry verbal skills and non-inquiry verbal skills; s3, crawling plastic project information of each hospital official website in the step S1 through a crawler, and counting common projects; s4, classifying the dialogue data in the step S1 according to the common items in the step S3to form item data; s5, according to each type of project data in the step S4, extracting an inquiry verbal skill in the customer service reply verbal skill in the step S2; s6, analyzing the inquiry verbal skill in the step S5, and dividing the inquiry verbal skill into a plurality of inquiry categories; and S7, sorting the inquiry categories to obtain an inquiry process based on the theme project.

Description

technical field [0001] The invention relates to the field of medical plastic surgery, in particular to a method and system for semi-automatically constructing medical aesthetic consultation guidance. Background technique [0002] Existing dialogue robots are mainly led by visitors, and the robots are passive. But in the medical plastic surgery industry, robots are required to be able to actively talk and guide visitors. The traditional solution is to trigger the consultation according to the keyword sent by the visitor or to lead the dialogue by writing a general consultation guidance process. The content of this form of dialogue will be relatively blunt, and the semantics of customers cannot be understood. Contents of the invention [0003] In order to solve the problems existing in the prior art, the present invention is a robot consultation mechanism based on theme scenes, understands visitor semantics, leads the dialogue process, and helps the robot obtain more visit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/33G06F16/35G06F16/951G16H50/20
CPCG06F16/3329G06F16/35G06F16/951G06F16/334G16H50/20
Inventor 邹辉肖龙源蔡振华李稀敏刘晓葳谭玉坤
Owner XIAMEN KUAISHANGTONG TECH CORP LTD