A Method of Mining Hot Events Based on Large-Scale Knowledge Base

A technology of hot events and knowledge base, applied in the field of short text hot event mining, it can solve the problems of incomplete structure of knowledge organization, lack of hierarchy of concept relationships, and lack of effective representation of relationships between concepts, so as to make up for short texts that are short and small, Improve the construction accuracy and remove the effect of noise interference

Active Publication Date: 2017-02-08
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The above-mentioned knowledge base system, or the concept relationship lacks hierarchy, or the knowledge or

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
  • A Method of Mining Hot Events Based on Large-Scale Knowledge Base
  • A Method of Mining Hot Events Based on Large-Scale Knowledge Base
  • A Method of Mining Hot Events Based on Large-Scale Knowledge Base

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0031] figure 1 A schematic flowchart of a method for mining hot events in a large-scale knowledge base provided by the present invention is shown. like figure 1 As shown, the method includes:

[0032] Step S1: Based on the data obtained in the Internet, automatically build a large-scale knowledge base for text understanding, and realize its automatic optimization and knowledge update;

[0033] Step S2: based on the large-scale knowledge base, extract structured information from the short text, classify the short file, and filter out the event text in it according to the needs;

[0034] Step S3: Based on the large-scale knowledge base, the structured information extraction algorithm in Step S2 is a...

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 discloses a hot event mining method based on a large-scale knowledge base. The method is characterized by including the steps of based on data acquired through the internet, automatically establishing a text-understanding-oriented large-scale knowledge base, and allowing for automatic optimization and knowledge updating of the base; based on the large-scale knowledge base, performing structural information extraction on short texts to be detected, sorting the short texts to be detected, according to extracted structural information, and screening out corresponding event texts; based on the large-scale knowledge base, clustering the screened event texts to screen out hot events. The method has the advantages that structural knowledge representation is automatically extracted from the internet, structural tuple representation is established for semantic relation between instances and concepts, a knowledge back-tracking mode is provided, and accuracy in extraction of structural information from short texts is improved.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a method for mining hot events in short texts based on a large-scale knowledge base. Background technique [0002] With the advent of the era of big data, the effective acquisition and professional processing of massive data information tests the intelligence level of computers. Many institutions and individuals are beginning to research how to make computers understand the human mind and our world. So far, this is still a very challenging goal. Under the above background, hot event mining for short texts such as Weibo has gradually become a research hotspot. [0003] At the beginning of the event detection task, the vector space model is the most widely used method. In the vector space model, one dimension represents the report and the other dimension represents the feature, so that each report can be expressed by a vector, and then through the There are e...

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
IPC IPC(8): G06F17/30
CPCG06F16/35
Inventor 郝红卫孙正雅王桂香梁倩
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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