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Keyword extraction method, device and equipment, and computer storage medium

A keyword and feature extraction technology, applied in the computer field, can solve problems such as low accuracy of core components, failure to consider the influence of sentence semantic participle weight values, and inability to establish connections between words and sentences

Active Publication Date: 2021-06-04
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the statistics-based method is only based on word frequency statistics based on the global corpus, and cannot establish a connection between words and the specific semantics of sentences. Therefore, the impact of sentence semantics on word segmentation weights is not considered, so the accuracy of core component extraction is not high.

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  • Keyword extraction method, device and equipment, and computer storage medium
  • Keyword extraction method, device and equipment, and computer storage medium
  • Keyword extraction method, device and equipment, and computer storage medium

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Embodiment Construction

[0066] In order to make the purpose, technical solutions and advantages of the application clearer, the technical solutions in the embodiments of the application will be clearly and completely described below in conjunction with the drawings in the embodiments of the application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application. In the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other. Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0067] In order to facilitate the understanding of the te...

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Abstract

This application discloses a keyword extraction method, device and equipment, and a computer storage medium, which relate to the field of computer technology. In this method, the feature matrix of the title and each word vector are obtained by performing feature encoding on the target title and each word segment, and then The title feature matrix and each word vector are spliced, and the features of each spliced ​​feature matrix are extracted to obtain the fusion feature vectors corresponding to each participle, and then based on the obtained fusion feature vectors, respectively determine the position of the corresponding participle in the target title. Weight value, based on each weight value obtained, keywords are extracted from each word segmentation. Among them, by performing feature extraction on the spliced ​​feature matrix after splicing, the redundant features in the feature matrix are screened out, and features useful for the weight determination of word segmentation are obtained, so that the title feature and the word segmentation feature are effectively fused, and then Improve the accuracy of the title word weight task.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to the field of artificial intelligence (AI) technology, and provides a keyword extraction method, device and equipment, and a computer storage medium. Background technique [0002] The title word weight task (term-weights) is the main way to extract the core semantic components of the sentence and eliminate the influence of redundant components. The main purpose of this task is to give each word segmentation weight value by understanding the sentence semantics, that is, to give the core components in the sentence a high Weights are given to other words with low weights, so as to reduce the impact of non-principal component words in the sentence on the overall semantics of the sentence in business applications, and distinguish the primary and secondary components of the sentence. [0003] At present, word weighting tasks are mostly completed by statistical means, where s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/289G06F40/216G06F40/30
CPCG06F40/216G06F40/289G06F40/30
Inventor 黄剑辉
Owner TENCENT TECH (SHENZHEN) CO LTD