Public opinion text event graph generation method and device, electronic equipment and medium

A text and public opinion technology, applied in the field of natural language processing, can solve the problem of insufficient model recognition accuracy, and achieve the effects of high precision, high recognition accuracy, and universality.

Pending Publication Date: 2022-06-21
NUCTECH JIANGSU CO LTD +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present disclosure is to provide a method, device, electronic device, and computer-readable storage medium for generating event graphs of public opinion texts, so as to overcome the problem of insufficient model recognition accuracy in related technologies at least to a certain extent

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Public opinion text event graph generation method and device, electronic equipment and medium
  • Public opinion text event graph generation method and device, electronic equipment and medium
  • Public opinion text event graph generation method and device, electronic equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments, however, can be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0033] Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repeated descriptions will be omitted. Some of the block diagrams shown in the figures are functional entities that do not necessarily necessarily correspond to physically or logically separate entities. These function...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a public opinion text event atlas generation method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of natural language processing. The event graph generation method of the public opinion text comprises the following steps: configuring entity types of named entities and a relationship type between two named entities based on a field to which the public opinion text belongs; training the associated first BERT model and the first fine tuning network based on the entity type to generate an entity recognition model; training a second BERT model and a second fine tuning network which are associated based on the entity type and the relationship type to generate an entity relationship extraction model; and obtaining an entity relationship triple of the named entities in the public opinion text based on the entity recognition model and the entity relationship extraction model, so as to generate an event atlas of the public opinion text based on the triple. According to the technical scheme, the entity recognition model generated through training can have high recognition precision.

Description

technical field [0001] The present disclosure relates to the technical field of natural language processing, and in particular, to a method, apparatus, electronic device, and computer-readable storage medium for generating an event graph of public opinion text. Background technique [0002] Because the Internet has the characteristics of real-time, exchange and sharing, all kinds of network public opinion can be quickly spread and spread through the Internet. When faced with massive network public opinions, users need to quickly and accurately obtain target information from these network public opinions. In the field of customs, network public opinion involves the import and export of goods, the entry and exit of passengers, anti-smuggling and drug investigation, etc. Therefore, how to quickly and accurately obtain target information from the massive network public opinion has become a very important research direction. [0003] Since most of the information obtained on the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/35G06F40/295G06F40/117
CPCG06F16/367G06F16/35G06F40/295G06F40/117G06F2216/03
Inventor 黄凯鑫黎盈婷仲小琴唐虎张丽李元景李博文
Owner NUCTECH JIANGSU CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap