Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for analyzing matching degree between demand and output result based on text semantics

A technology of semantic analysis and matching degree, applied in the direction of semantic tool creation, text database query, unstructured text data retrieval, etc., to achieve the effect of reducing difficulty, reducing time and resource investment

Pending Publication Date: 2020-06-19
普华讯光(北京)科技有限公司
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method based on the matching degree between text semantic analysis requirements and output results in order to solve the above problems, which solves the current existing problems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for analyzing matching degree between demand and output result based on text semantics
  • Method for analyzing matching degree between demand and output result based on text semantics
  • Method for analyzing matching degree between demand and output result based on text semantics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Such as Figure 1-4 As shown, this specific implementation mode adopts the following technical solutions: a method based on the matching degree between text semantic analysis requirements and output results, including the following steps:

[0026] A method for analyzing the matching degree between requirements and output results based on text semantics, comprising the following steps:

[0027] Step 1. Dataset labeling: Use the text information based on the project requirement description, achievement description and project title to compare and summarize the correlation matching degree of the two projects and perform four-category labeling to construct a labeling dataset for project matching calculation and modeling ;

[0028] Step 2. Technical document preprocessing: Construct the Bert model input text. In view of the Bert model input sequence length and the limitation of computing resources, use the Rough-L algorithm based on the project name to core the project requ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for analyzing a matching degree between a demand and an output result based on text semantics. The method comprises the following steps: step 1, labeling a data set; step 2, technical document preprocessing; 3, training and predicting a single-parameter model; 4, integrating prediction results of the multi-parameter model; the method has the beneficial effects thatthe method is simple; deep learning and the NLP technology are applied to the field of project association degree calculation of enterprise project management for the first time. Calculating an association matching degree between the two projects according to project requirements and result description; the associated project positioning difficulty is effectively reduced; meanwhile, the demand side can be helped to quickly and efficiently locate high-quality projects adapting to the demand of the demand side; time and resource investment for achievement screening and matching are greatly reduced, the association matching degree between projects is calculated by means of text data of existing project achievement technical documents and project declaration guidelines, and then large enterprises are assisted in screening high-quality projects with the high matching degree in the project bidding and tendering link.

Description

Technical field: [0001] The invention belongs to the field of calculating the matching degree between project requirements and results in an unrestricted industry, and in particular relates to a method for analyzing the matching degree between requirements and output results based on text semantics. Background technique: [0002] The calculation of project relevance is one of the important links in enterprise project management, especially for state-owned enterprises like power grids, which have a large number of existing project achievements and a huge number of project applications each year. How to calculate the correlation between the existing pre-research projects and the projects to be declared in the application guidelines for scientific and technological projects, clarify the matching relationship between the projects, and retrieve the most suitable needs among the many pre-research projects according to the specific research topics in the application guidelines Bidd...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F16/33G06F16/36G06N3/04
CPCG06F16/3344G06F16/36G06N3/045
Inventor 李洁茹刘同新徐剑张若兴
Owner 普华讯光(北京)科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com