Digital monitoring and modeling of activities:the IVFC case study

At present,the frequency of various activities,such as competitions and conferences is increasing day by day.However,there is a lack of an effective platform of digital monitoring and analysis of online media for such events.Based on the method framework in parallel intelligence and knowledge automa...

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Main Authors: Xingkai SUN, Xiao WANG, Hao LU
Format: Article
Language:zho
Published: POSTS&TELECOM PRESS Co., LTD 2019-12-01
Series:智能科学与技术学报
Subjects:
Online Access:http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.201940
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author Xingkai SUN
Xiao WANG
Hao LU
author_facet Xingkai SUN
Xiao WANG
Hao LU
author_sort Xingkai SUN
collection DOAJ
description At present,the frequency of various activities,such as competitions and conferences is increasing day by day.However,there is a lack of an effective platform of digital monitoring and analysis of online media for such events.Based on the method framework in parallel intelligence and knowledge automation theory,a methodological framework for network media monitoring and modeling analysis for events was proposed in this paper,and takes the “Intelligent Vehicle Future Challenge” as an application example.The dataset was collected from three main types of online media (news,WeChat,Weibo) data from 2009 to 2017.Then the online media data were analyzed and visualized from the multiple dimensions including time and space,hotspots,release sources,keywords,topics,semantics,and entities.The results show that the relevant framework can provide effective digital monitoring means and auxiliary decision support for the activity-related organizations.
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institution Kabale University
issn 2096-6652
language zho
publishDate 2019-12-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 智能科学与技术学报
spelling doaj-art-3a4b34d8b22a4c4fb301b029457913a82024-11-11T06:51:23ZzhoPOSTS&TELECOM PRESS Co., LTD智能科学与技术学报2096-66522019-12-01135236859636673Digital monitoring and modeling of activities:the IVFC case studyXingkai SUNXiao WANGHao LUAt present,the frequency of various activities,such as competitions and conferences is increasing day by day.However,there is a lack of an effective platform of digital monitoring and analysis of online media for such events.Based on the method framework in parallel intelligence and knowledge automation theory,a methodological framework for network media monitoring and modeling analysis for events was proposed in this paper,and takes the “Intelligent Vehicle Future Challenge” as an application example.The dataset was collected from three main types of online media (news,WeChat,Weibo) data from 2009 to 2017.Then the online media data were analyzed and visualized from the multiple dimensions including time and space,hotspots,release sources,keywords,topics,semantics,and entities.The results show that the relevant framework can provide effective digital monitoring means and auxiliary decision support for the activity-related organizations.http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.201940digital monitoring;multi-dimensional analysis;Intelligent Vehicle Future Challenge;knowledge automation
spellingShingle Xingkai SUN
Xiao WANG
Hao LU
Digital monitoring and modeling of activities:the IVFC case study
智能科学与技术学报
digital monitoring;multi-dimensional analysis;Intelligent Vehicle Future Challenge;knowledge automation
title Digital monitoring and modeling of activities:the IVFC case study
title_full Digital monitoring and modeling of activities:the IVFC case study
title_fullStr Digital monitoring and modeling of activities:the IVFC case study
title_full_unstemmed Digital monitoring and modeling of activities:the IVFC case study
title_short Digital monitoring and modeling of activities:the IVFC case study
title_sort digital monitoring and modeling of activities the ivfc case study
topic digital monitoring;multi-dimensional analysis;Intelligent Vehicle Future Challenge;knowledge automation
url http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.201940
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