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Synonym mining method, device and electronic equipment

A technology of synonyms and antonyms, which is applied in the field of natural language processing, can solve the problem of low accuracy rate of synonyms mining and achieve the effect of improving the accuracy rate

Active Publication Date: 2019-04-09
ZHONGKE DINGFU BEIJING TECH DEV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a method, device, and electronic equipment for mining synonyms to solve the problem of low accuracy in mining synonyms in the prior art

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  • Synonym mining method, device and electronic equipment
  • Synonym mining method, device and electronic equipment
  • Synonym mining method, device and electronic equipment

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Embodiment Construction

[0029] The technical solutions in the embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0030] In order to facilitate the understanding of the technical solutions of the embodiments of the present invention, the basic idea of ​​the solutions will be briefly described below.

[0031] The basic idea of ​​the synonym mining method provided by the embodiment of the present invention is: not only the word vector distance between the text to be processed and the candidate synonym will affect the result of synonym mining, but also the distance between the preset synonym of the text to be processed and the candidate synonym The word vector distance will also have an impact on the results of synonym mining. Only when the word vector distances between the candidate synonym and the text to be processed and its preset synonyms are similar, it will be used as a synonym of the text to be processed. Therefore, by using the method fo...

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Abstract

Embodiments of the present invention provide a synonym mining method, device and electronic equipment, which relate to the technical field of computer applications. Wherein the synonym mining method includes: obtaining the text to be processed; obtaining the preset synonym of the text; obtaining the first semantic similarity between the text and the candidate synonym through the document similarity algorithm based on the word vector; and, through the According to the document similarity algorithm, the second semantic similarity between the preset synonyms and the candidate synonyms is obtained; according to the first semantic similarity and the second semantic similarity, the synonyms of the text are determined. In the technical solution provided by the embodiments of the present invention, only when the word vector distance between the candidate synonym and the text to be processed and its preset synonyms is similar, it will be used as a synonym of the text to be processed; therefore, the accuracy of synonym mining can be effectively improved .

Description

technical field [0001] The present application relates to the technical field of natural language processing, and in particular to a synonym mining method, device and electronic equipment. Background technique [0002] Text mining refers to the process of extracting previously unknown, understandable, and finally usable knowledge from large amounts of text data, and at the same time using this knowledge to better organize information for future reference. Synonymous concept mining is an important branch of text mining. Synonymous concept mining refers to the process of discovering words or texts that have similar meanings to a word or a piece of text. [0003] At present, a commonly used method for mining near-synonymous concepts is a method for mining near-synonymous concepts based on word vector space. This method regards the distribution of word vector space as the distribution of semantic space, and uses the distance between two word vectors to measure the distance betw...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/27
CPCG06F40/247G06F40/284G06F40/30
Inventor 蒋宏飞李健铨晋耀红杨凯程
Owner ZHONGKE DINGFU BEIJING TECH DEV
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