Machine learning model-based social hotspot discovery method

A technology of machine learning model and discovery method, which is applied in the field of social hot spot discovery based on machine learning model, which can solve problems such as low accuracy and inability to predict hot events well.

Inactive Publication Date: 2018-04-06
成都蓝景信息技术有限公司
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) Simply use word frequency statistics to find out which words appear more frequently, which is too simple and the accuracy is not very high
[0005] (2) Only the hot events that have occurred can be found, but the upcoming hot events cannot be well predicted

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
  • Machine learning model-based social hotspot discovery method
  • Machine learning model-based social hotspot discovery method
  • Machine learning model-based social hotspot discovery method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The following will be combined with the Figure 1-Figure 6 The present invention is described in detail, and the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0047] The present invention provides a method for discovering social hotspots based on a machine learning model by improving,

[0048] This patent is based on multi-source news features and time series difference features, combined with technologies such as InfoMap, text clustering, semantic similarity analysis, key phrase extraction, etc., to effectively identify hot spots before they break out. This method can efficien...

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 machine learning model-based social hotspot discovery method. The method comprises the following steps of: constructing a corpus set; carrying out preprocessing; calculatingheat; forming hot word cloud; and forming hot news. The method is mainly used for analyzing and automatically discovering hot issues which currently happen and are about to happen in the social or financial field in allusion to abundant financial news, government news and leader speaks, and providing the predicted hot issues for personnel in related fields to carry out assistant analysis.

Description

technical field [0001] The invention relates to the relevant field of social hotspot discovery, in particular to a social hotspot discovery method based on a machine learning model. Background technique [0002] At present, with the vigorous popularization of the Internet, network media tends to be mainstreamed in social communication. The advantages of various Internet applications in information dissemination are prominent, attracting the participation of various groups in society, and the Internet has accelerated penetration into all sectors of society. With the continuous expansion and deepening of its functions, the Internet has increasingly become an important public opinion carrier in today's society. Network public opinion has had a significant impact on the stability of society and many people who go online. It has a wide range of occurrence, rapid spread, and its outbreak point is not easy to find and control, which makes the public opinion on the network effective...

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): G06F17/27G06F17/30G06N99/00G06Q50/00
CPCG06F16/35G06F16/9535G06F40/289G06N20/00G06Q50/01
Inventor 张劲松蔡源涛赵二超
Owner 成都蓝景信息技术有限公司
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