Method for calculating entity relevance based on word net

A related and entity technology, applied in computing, instrumentation, electrical digital data processing, etc., can solve the problems of multiple sources of data, inability to analyze, lack of data, etc.

Pending Publication Date: 2021-01-05
SHANDONG LANGCHAO YUNTOU INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional analysis cannot be analyzed due to the large number of data s

Method used

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  • Method for calculating entity relevance based on word net

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Embodiment Construction

[0044] In order to enable those skilled in the art to better understand the solutions of the present invention, the present invention will be further described in detail below in conjunction with specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0045] A preferred embodiment is given below:

[0046] Such as figure 1 As shown, the method for calculating entity relevance based on word net in the present embodiment has the following steps:

[0047] S1. Keyword acquisition components, including:

[0048] S101. Project keywords:

[0049] There are two sources of project keywords, one is to provide original project data, and the other is to use NLP technology to extract project k...

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Abstract

The invention relates to the field of word net processing, and particularly provides a method for calculating entity relevance based on a word net. The method comprises the following steps: S1, a keyword acquisition component; S2, an entity space positioning assembly; and S3, an entity relationship calculation component. Compared with the prior art, the method has the advantages that the scatteredunits are marked in a unified mode on the basis, an intelligent discrete unit analysis system is constructed, the mining analysis and processing functions of discrete units are effectively achieved,correlation analysis of low-correlation data is achieved, and the method has good popularization values.

Description

technical field [0001] The invention relates to the field of word net processing, and specifically provides a method for calculating entity relevance based on word net. Background technique [0002] With the continuous expansion of computer application fields, people attach great importance to natural language processing. Application requirements such as machine translation, language recognition, and information retrieval have put forward higher and higher requirements for the natural language processing capabilities of computers. In order for a computer to process natural language, it first needs to be modeled. Natural language modeling methods have undergone a transformation from basic rule-based methods to basic statistical methods. In the context of research on statistical language models, Google released Word2vec, a software tool for training word vectors, in 2013. [0003] Word2vec can quickly and efficiently express a word into a vector form through an optimized tr...

Claims

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Application Information

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IPC IPC(8): G06F40/289G06F40/30
CPCG06F40/289G06F40/30
Inventor 尹京刚张辉
Owner SHANDONG LANGCHAO YUNTOU INFORMATION TECH CO LTD
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