Digital monitoring and modeling of activities:the IVFC case study

Xingkai SUN; Xiao WANG; Hao LU

doi:10.11959/j.issn.2096-6652.201940

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Digital monitoring and modeling of activities:the IVFC case study

Regular Papers | 更新时间：2024-06-05

- Digital monitoring and modeling of activities:the IVFC case study
- Chinese Journal of Intelligent Science and Technology Vol. 1, Issue 4, Pages: 352-368(2019)
- 作者机构：
  
  1. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  2. 中国科学院大学，北京 100049
  3. 青岛智能产业技术研究院，山东青岛 266000
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.201940
  CLC： TP391.1
- Published Online：2019-12，
  
  Published：20 December 2019
- 稿件说明：
移动端阅览
Xingkai SUN, Xiao WANG, Hao LU. Digital monitoring and modeling of activities:the IVFC case study[J]. Chinese journal of intelligent science and technology, 2019, 1(4): 352-368.
DOI：

Xingkai SUN, Xiao WANG, Hao LU. Digital monitoring and modeling of activities:the IVFC case study[J]. Chinese journal of intelligent science and technology, 2019, 1(4): 352-368. DOI： 10.11959/j.issn.2096-6652.201940.

摘要

当前，各类活动（如竞赛、会议等）的举办频次日益增多，但针对此类活动相关网络媒体内容的数字化监测和分析却缺乏有效的平台。以平行情报中的方法框架与知识自动化理论方法为基础，提出了一个面向活动的网络媒体监测与建模分析的方法框架，并以中国智能车未来挑战赛（IVFC）为实际应用案例，采集2009年至2017年3类主要网络媒体（新闻、微信、微博）数据，分别从时空、热点、发布源、关键词、主题、语义、实体等维度对网络媒体数据进行解析与可视化。实例分析结果可以有效揭示活动网络媒体的发布规律、关注点、重要发布源以及各活动参与方实体的知识等，可为活动主办方等相关单位进行策划、宣传、总结等活动前、中、后的各个环节提供数字化辅助决策支撑。

Abstract

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.

关键词

Keywords

references

WANG F Y . The emergence of intelligent enterprises:from CPS to CPSS [J ] . IEEE Intelligent Systems , 2010 , 25 : 85 - 88 .

王飞跃 . 社会信号处理与分析的基本框架:从社会传感网络到计算辩证解析方法 [J ] . 中国科学:信息科学 , 2013 , 43 ( 12 ): 1598 - 1611 .

WANG F Y . A framework for social signal processing and analysis:from social sensing networks to computational dialectical analytics [J ] . Scientia Sinica (Informationis) , 2013 , 43 ( 12 ): 1598 - 1611 .

王飞跃 . 从一无所有到万象所归:人工社会与复杂性研究 [N ] .,2003年3月17日. 科学时报 ,2003年3月17日.

WANG F Y . From nothing to everything:artificial societies and complex system [N ] . Science Times ,2003-3-17.

WANG F Y . Social computing:concepts,contents,and methods [J ] . International Journal of Intelligent Control and Systems , 2004 , 9 ( 2 ): 91 - 96 .

王飞跃 . 关于复杂系统研究的计算理论与方法 [J ] . 中国基础科学 , 2004 , 6 ( 41 ): 2 - 10 .

WANG F Y . Computational theory and methods on complex system [J ] . China Basic Science , 2004 , 6 ( 41 ): 2 - 10 .

王飞跃 . 社会计算与数字网络化社会的动态分析 [J ] . 科技导报 , 2005 ,23, 5 ( 9 ): 4 - 6 .

WANG F Y . Social computing and dynamical state analysis of digitalized and networked societies [J ] . Science ＆ Technology Review , 2005 ,23, 5 ( 9 ): 4 - 6 .

王飞跃 , 王珏 . 情报与安全信息学研究的现状与展望 [J ] . 中国基础科学 , 2005 , 7 ( 2 ): 24 - 29 .

WANG F Y , WANG J . Intelligence and security informatics:the state of the art and outlook [J ] . China Basic Science , 2005 , 7 ( 2 ): 24 - 29 .

WANG F Y . Toward a paradigm shift in social computing:the ACP approach [J ] . IEEE Intelligent Systems , 2007 , 22 ( 5 ): 65 - 67 .

王飞跃 . 情报 5.0:平行时代的平行情报体系 [J ] . 情报学报 , 2015 , 34 ( 6 ): 563 - 574 .

WANG F Y.Intelligence 5 . 0:parallel intelligence in parallel age [J ] . Journal of the China Society for Scientific and Technical Information , 2015 , 34 ( 6 ): 563 - 574 .

唐涛 . 基于大数据的网络舆情分析方法研究 [J ] . 现代情报 , 2014 , 34 ( 3 ): 3 - 6 .

TANG T . Research on method of internet public opinion analysis based on big data [J ] . Journal of Modern Information , 2014 , 34 ( 3 ): 3 - 6 .

李金海 , 何有世 , 熊强 . 基于大数据技术的网络舆情文本挖掘研究 [J ] . 情报杂志 , 2014 , 33 ( 10 ): 1 - 6 ,13.

LI J H , HE Y S , XIONG Q . On text mining of network public opinion based on big data technology [J ] . Journal of Intelligence , 2014 , 33 ( 10 ): 1 - 6 ,13.

马梅 , 刘东苏 , 李慧 . 基于大数据的网络舆情分析系统模型研究 [J ] . 情报科学 , 2016 , 34 ( 3 ): 25 - 28 .

MA M , LIU D S , LI H . Research on the network public opinion analysis system model based on big data [J ] . Information Science , 2016 , 34 ( 3 ): 25 - 28 .

夏火松 , 甄化春 . 大数据环境下舆情分析与决策支持研究文献综述 [J ] . 情报杂志 , 2015 , 34 ( 2 ): 1 - 6 .

XIA H S , ZHEN H C . Public opinion analysis and decision support study under big data surroundings [J ] . Journal of Intelligence , 2015 , 34 ( 2 ): 1 - 6 .

陈必坤 , 王曰芬 , 廖海涵 . 大数据时代社会舆情分析与决策支持研究的现状及其发展趋势 [J ] . 情报科学 , 2016 , 34 ( 10 ): 8 - 14 .

CHEN B K , WANG Y F , LIAO H H . Current situation and development trend of social public opinion analysis and decision making based on the background of big data era [J ] . Information Science , 2016 , 34 ( 10 ): 8 - 14 .

王飞跃 . 软件定义的系统与知识自动化:从牛顿到默顿的平行升华 [J ] . 自动化学报 , 2015 , 41 ( 1 ): 1 - 8 .

WANG F Y . Software-defined systems and knowledge automation:a parallel paradigm shift from Newton to Merton [J ] . Acta Automatica Sinica , 2015 , 41 ( 1 ): 1 - 8 .

王飞跃 , 王晓 , 袁勇 , 等 . 社会计算与计算社会:智慧社会的基础与必然 [J ] . 科学通报 , 2015 , 60 ( Z1 ): 460 - 469 .

WANG F Y , WANG X , YUAN Y , et al . Social computing and computational societies:the foundation and consequence of smart societies [J ] . Chinese Science Bulletin , 2015 , 60 ( Z1 ): 460 - 469 .

ZHENG X Q , CHEN H Y , XU T Y . Deep learning for Chinese word segmentation and POS tagging [C ] // The 2013 Conference on Empirical Methods in Natural Language Processing,October 18-21,2013,Seattle,USA . Stroudsburg:ACL , 2013 : 647 - 657 .

贾自艳 , 史忠植 . 基于概率统计技术和规则方法的新词发现 [J ] . 计算机工程 , 2004 , 30 ( 20 ): 19 - 21 .

JIA Z Y , SHI Z Z . Probabilistic techniques and rule methods for new word discovery [J ] . Computer Engineering , 2004 , 30 ( 20 ): 19 - 21 .

王立希 , 王建东 , 汪静 . 基于数据挖掘的新词发现 [J ] . 计算机应用研究 , 2006 , 23 ( 12 ): 195 - 197 .

WANG L X , WANG J D , WANG J . Approach for lexicon updating based on data mining [J ] . Application Research of Computers , 2006 , 23 ( 12 ): 195 - 197 .

陈飞 , 刘奕群 , 魏超 , 等 . 基于条件随机场方法的开放领域新词发现 [J ] . 软件学报 , 2013 , 24 ( 5 ): 1051 - 1060 .

CHEN F , LIU Y Q , WEI C , et al . Open domain new word detection using condition random field method [J ] . Journal of Software , 2013 , 24 ( 5 ): 1051 - 1060 .

霍帅 , 张敏 , 刘奕群 , 等 . 基于微博内容的新词发现方法 [J ] . 模式识别与人工智能 , 2014 , 27 ( 2 ): 141 - 145 .

HUO S , ZHANG M , LIU Y Q , et al . Pattern recognition and artificial intelligence [J ] . Pattern Recognition and Artificial Intelligence , 2014 , 27 ( 2 ): 141 - 145 .

李文坤 , 张仰森 , 陈若愚 . 基于词内部结合度和边界自由度的新词发现 [J ] . 计算机应用研究 , 2015 , 32 ( 8 ): 2302 - 2304 .

LI W K , ZHANG Y S , CHEN R Y . New word detection based on inner combination degree and boundary freedom degree of word [J ] . Application Research of Computers , 2015 , 32 ( 8 ): 2302 - 2304 .

SALTON G , BUCKLEY C . Term-weighting approaches in automatic text retrieval [J ] . Information Processing ＆ Management , 1988 , 24 ( 5 ): 513 - 523 .

徐文海 , 温有奎 . 一种基于 TFIDF 方法的中文关键词抽取算法 [J ] . 情报理论与实践 , 2008 , 31 ( 2 ): 298 - 302 .

XU W H , WEN Y K . A Chinese keyword extraction algorithm based on TFIDF method [J ] . Information Studies:Theory ＆ Application , 2008 , 31 ( 2 ): 298 - 302 .

MIHALCEA R , TARAU P . Textrank:bringing order into text [C ] // The 2004 Conference on Empirical Methods in Natural Language Processing,July 25-26,2004,Barcelona,Spain.[S.l.:s.n] . 2004 : 404 - 411 .

HARTIGAN J A , WONG M A . Algorithm AS 136:a K-means clustering algorithm [J ] . Journal of the Royal Statistical Society , 1979 , 28 ( 1 ): 100 - 108 .

BLEI D M , NG A , JORDAN M . Latent Dirichlet allocation [J ] . Journal of Machine Learning Research , 2003 ( 3 ): 993 - 1022 .

HOFMANN T , . Probabilistic latent semantic analysis [C ] // The Fifteenth Conference on Uncertainty in Artificial Intelligence,July 30-August 1,1999,Stockholm Sweden.San Francisco:Morgan Kaufmann Publishers Inc . 1999 : 289 - 296 .

SIEVERT C , SHIRLEY K E . LDAvis:a method for visualizing and interpreting topics [C ] // The Workshop on Interactive Language Learning,June 27,2014,Baltimore,USA . Stroudsbury:ACL , 2014 .

MIKOLOV T , CHEN K , CORRADO G , et al . Efficient estimation of word representations in vector space [J ] . Computer Science , 2013 .

MIKOLOV T , SUTSKEVER I , CHEN K , et al . Distributed representations of words and phrases and their compositionality [C ] // International Conference on Neural Information Processing Systems,December 5-8,2013,Lake Tahoe,USA.New York:Curran Associates Inc . 2013 : 3111 - 3119 .

HINTON G E . Visualizing high-dimensional data using t-SNE [J ] . Journal of Machine Learning Research , 2008 , 9 ( 2 ): 2579 - 2605 .

WSULI A , SEBASTIANI F . SentiWordNet:a publicly available lexical resource for opinion mining [C ] // The Fifth International Conference on Language Resources and Evaluation,May 24-26,2006,Genoa,Italy . France:ELRA , 2006 : 417 - 422 .

BACCIANELLA S , ESULI A , SEBASTIANI F . SentiWordNet 3.0:an enhanced lexical resource for sentiment analysis and opinion mining [C ] // International Conference on Language Resources and Evaluation,May 17-23,2010,Valletta,Malta . France:ELRA , 2010 : 83 - 90 .

王科 , 夏睿 . 情感词典自动构建方法综述 [J ] . 自动化学报 , 2016 , 42 ( 4 ): 495 - 511 .

WANG K , XIA R . A survey on automatical construction methods of sentiment lexicons [J ] . Acta Automatica Sinica , 2016 , 42 ( 4 ): 495 - 511 .

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