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Entity relationship graph construction method and system for network community text

A technology of entity relationship and network community, applied in text database clustering/classification, unstructured text data retrieval, semantic tool creation, etc., can solve problems such as irregular text expression, stop extraction and analysis, and many colloquial content , to achieve the effects of increasing richness, increasing reliability, and ensuring accuracy and reliability

Inactive Publication Date: 2019-08-30
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The traditional analysis of text information mainly realizes the extraction and understanding of text information through technologies such as keyword matching and topic clustering. Mining and expressing public opinion information
At the same time, most of these technical researches are carried out on long texts in the fields of news and medical care, and because the text content of the online community is mostly short texts, there are many colloquial content, and the text expressions are not standardized, it is impossible to directly use a One or more technologies to accurately discover and identify the popular public opinion information it contains

Method used

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  • Entity relationship graph construction method and system for network community text
  • Entity relationship graph construction method and system for network community text
  • Entity relationship graph construction method and system for network community text

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Embodiment Construction

[0048] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0049] According to the embodiment of the present application, a method for constructing entity-relationship graphs for online community texts is proposed, such as figure 1 shown, including:

[0050] S101, collecting text in the webpage;

[0051] S102, performing entity recognition and entity relationship extraction on the text in the webpage, and constructing a semantic model;

[0052] S103, collecting texts in online communitie...

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Abstract

The invention discloses an entity relationship graph construction method and system for network community texts, and the method comprises the steps: collecting texts in a webpage, carrying out entityrecognition and entity relationship extraction, and constructing a semantic model; collecting a text in the network community, and performing entity identification and entity relationship extraction to obtain a network entity relationship set; classifying the network entity relationship set by using a classification model to obtain entity pairs; performing hierarchical classification calculation on the entity pairs, and fusing the entity pairs into a semantic model; and carrying out visualization processing on the fused semantic model to obtain an entity relationship map. A semantic model is generated by using the pure text in the specific webpage, and the accuracy and reliability of the entity relationship are ensured. A classification algorithm and a core entity relation set are used fortraining a classification model, evaluation is carried out, and the classification reliability is improved. The evaluated network entity relationship set is added into the core semantic model, so that the richness, the stability and the automatic expansibility of the core semantic model are improved.

Description

technical field [0001] The present application relates to the field of information processing, and in particular to a method and system for constructing entity-relationship graphs for network community texts. Background technique [0002] Online communities are the same as real communities in that they include certain places, certain groups of people, certain types of organizations, participation of community members, and certain characteristics of common interests and cultures. Network communities provide various means of information exchange, such as discussion, communication, chat, etc., so that community residents can interact. With the rapid development of the Internet, the relationship between people's real life and the network community is getting closer. People like to record their daily life in online communities, discuss current political hotspots and people's livelihood, put forward their own thoughts and opinions on various news hotspots, and enhance their sense...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F16/36G06F17/27G06Q50/00
CPCG06F16/35G06F16/367G06Q50/01G06F40/295G06F40/30
Inventor 吴旭颉夏青吴海涛张熙方滨兴
Owner BEIJING UNIV OF POSTS & TELECOMM
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