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Text data-oriented online social platform multivariate knowledge acquisition method

A text data, social platform technology, applied in the field of knowledge representation and acquisition, can solve the problems of incomplete knowledge, lack of multi-knowledge representation ability, inaccuracy, etc., to achieve the effect of improving the depth of information

Active Publication Date: 2021-05-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is: to propose a text data-oriented online social platform multi-knowledge acquisition method, to solve the lack of representation ability for multi-knowledge and the incomplete and inaccurate knowledge obtained in the knowledge acquisition method in the traditional technology The problem

Method used

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  • Text data-oriented online social platform multivariate knowledge acquisition method
  • Text data-oriented online social platform multivariate knowledge acquisition method
  • Text data-oriented online social platform multivariate knowledge acquisition method

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Experimental program
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Embodiment

[0104] Taking the product sales process of the e-commerce platform as an example, the semi-structured and unstructured text data such as user browsing, purchase, after-sales, user communication, and user comments are used to obtain comprehensive knowledge.

[0105] see figure 1 , the multivariate knowledge acquisition method in this embodiment includes the following four major steps:

[0106] S101. Designing a logical structure of multiple knowledge, constructing a six-tuple for knowledge extraction;

[0107] S102. Based on the proposed knowledge six-tuple, extract entity set, time constraint, space constraint, category, and entity attribute set information from the text data;

[0108] S103. Analyzing the relationship between entities extracted from the text to form a complete multivariate knowledge six-tuple;

[0109] S104. From the complete multi-knowledge six-tuple, extract the matter entity and matter relationship through the space-time constraint and the relationship betw...

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Abstract

The invention relates to the field of knowledge representation and acquisition, discloses a text data-oriented online social platform multivariate knowledge acquisition method, and solves the problems that a knowledge acquisition method in the traditional technology lacks the capability of representing multivariate knowledge, and the acquired knowledge is incomplete and inaccurate. The method comprises the following steps: firstly, constructing a basic composition structure and knowledge attribute tags of multivariate knowledge suitable for related knowledge representation of an online social platform, and then automatically extracting knowledge entities and relationships from text data speaking by a user; and performing data mining on the text data, further extracting hidden knowledge and association from the obtained multivariate knowledge, and finally completing comprehensive acquisition of the multivariate knowledge of the social platform. According to the method provided by the invention, by adopting a multivariate knowledge structure and fully mining potential knowledge and association in the text data on the social platform, the integrity and the accuracy of the obtained knowledge are improved, and the method can be used for recommending social platform contents, commodities and the like.

Description

technical field [0001] The present invention relates to the field of representation and acquisition of knowledge, in particular to a multi-knowledge acquisition method on a text data-oriented online social platform that can be used for content recommendation. Background technique [0002] With the rapid development of network technology and information technology, the total amount of data in the world has shown an exponential growth trend, and the wave of data is coming. Online social platforms, as the core way for ordinary users to communicate daily, their data reflect the information of the objective world, and through the analysis of these data, a large amount of knowledge and information can be obtained from them. Therefore, in order to mine and make use of valuable information in user speeches on social platforms, various knowledge acquisition technologies are emerging and becoming more and more active. However, data usually contains multivariate knowledge, such as des...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F16/36G06F40/194G06F40/211G06F40/279G06F40/30G06Q10/06G06Q30/06G06Q50/00
CPCG06F16/35G06F16/367G06F40/194G06F40/211G06F40/279G06F40/30G06Q10/06393G06Q30/0631G06Q50/01Y02D10/00
Inventor 郑旭田玲张栗粽罗光春曾翰林张奔
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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