A Calculation Method of Semantic Closeness

A technology of semantic relationship and calculation method, which is applied in the calculation of semantic relationship closeness, quantitative calculation of the field of semantic closeness between words, can solve problems that have not been solved well, and achieve the effect of improving accuracy

Active Publication Date: 2017-09-05
BEIHANG UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, how to effectively obtain the semantic relationship between words has not been well resolved

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
  • A Calculation Method of Semantic Closeness

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The technical content of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] Such as figure 1 As shown, the present invention provides a method for calculating semantic relationship closeness, including the following steps: performing word segmentation processing on documents, and filtering the word collection obtained after processing, filtering out non-nouns and common nouns with no real meaning; The word set is weighted according to the position information in the metadata text; finally, the semantic relationship closeness SRC (Semantic Relational Closeness) value between the two feature words is calculated. The following is a detailed description of this process.

[0025] S1, perform word segmentation processing on the document, and filter the word set obtained after processing, and filter out non-nouns and common nouns without meaning.

[0026] In order to reduce the comp...

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 calculating semantic closeness, which includes the following steps: S1, performing word segmentation processing on documents, and filtering the word collection obtained after processing, and filtering out non-nouns and common nouns with no real meaning; S2, The filtered word set is weighted according to the position information in the text, and its co-occurrence frequency weight is calculated; S3, according to the average weight between two words, the semantic relationship closeness is calculated. The invention fully considers the distance between two words and the context relationship thereof, and improves the accuracy of word correlation judgment.

Description

technical field [0001] The invention relates to a method for calculating the closeness of semantic relationship, in particular to a method for quantitatively calculating the closeness of semantic relationship between words, which belongs to the technical field of natural language processing. Background technique [0002] The rapid development of the Internet has brought human beings into a society of information explosion. Faced with the massive amount of information on the Internet, people often use search engines to obtain and locate effective information. Most of the currently widely used commercial search engines use an information retrieval model based on the combination of keyword matching and Boolean operations. Retrieval keywords become the most important communication channel between users and retrieval systems. However, only matching a small number of keywords input by users cannot obtain satisfactory retrieval results. [0003] In order to obtain better retrieva...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/27
Inventor 张辉陈勇刘瑞
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products