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Research experience of big data analytics: the tools for government: a case using social network in mining preferences of tourists

Published: 27 October 2014 Publication History

Abstract

This research analyzes messages from Sina Weibo and extracts preferences of tourists using data mining tools. The data mining process, presented in this report, illustrates a good approach for the government in mining information and knowledge from the social network. Discovering association rules is one of the most important tasks in data mining. In this report, Apriori algorithm is used to find the association rules among keywords within topics resulting from the Topic Modeling Algorithm - LDA model. The results and further analysis of data collected from the social network can be used to help the government in Macao and Hong Kong to learn more about their tourists for their policy making in support of the tourism industry.

References

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Weibo Corp: Home Page. 2009. Retrieved May 28, 2014, from WEIBO Beijing Weibo Internet Technology Co., Ltd: http://weibo.com
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Blei, D. M., Ng, A. Y. and Jordan, M. I. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research 3 (2003) 993--1022. 996--997 pages.
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Machine Learning Group at the University of Waikato: Weka 3: Data Mining Software in Java. 2013. Retrieved May 28, 2014, from Weka The University of Waikato: http://www.cs.waikato.ac.nz/ml/weka/index.html
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Rapoza, K. 2011. China's Weibos vs US's Twitter: And the Winner Is. Forbes. Retrieved May 28, 2014, from http://www.forbes.com/sites/kenrapoza/2011/05/17/chinas-weibos-vs-uss-twitter-and-the-winner-is/
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Michelle. and Uking. 2011. Special: Micro blog's macro impact. China daily. Retrieved May 28, 2014, from http://www.chinadaily.com.cn/china/2011-03/02/content_12099500.htm
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Ong, J. 2013. China's Sina Weibo grew 73% in 2012, passing 500 million registered accounts. The Next Web. Retrieved May 28, 2014, from http://thenextweb.com/asia/2013/02/21/chinas-sina-weibo-grew-73-in-2012-passing-500-million-registered-accounts/
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Wikipedia: Sina Weibo. N. D. Retrieved May 28, 2014, from The free encyclopedia: http://en.wikipedia.org/wiki/Sina_Weibo
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Sogou Dict: Sogou word bank. N. D. Retrieved May 28, 2014, from Sogou Pinyin: http://pinyin.sogou.com/dict/
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Ansjsun. 2013. ANSJ Chinese Segmentation. GitHub. Retrieved May 28, 2014, from https://github.com/ansjsun/ansj_seg
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Oracle: The Java Database Connectivity (JDBC). N. D. Retrieved May 28, 2014, from Java SE Documentation: http://docs.oracle.com/javase/6/docs/technotes/guides/jdbc/
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Phan, X. H., and Nguyen, C. T. 2008. A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference. JGibbLDA.

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  • (2019)Managing customer knowledge through the use of big data analytics in tourism researchCurrent Issues in Tourism10.1080/13683500.2018.1564739(1-22)Online publication date: 15-Jan-2019

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  1. Research experience of big data analytics: the tools for government: a case using social network in mining preferences of tourists

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    ICEGOV '14: Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance
    October 2014
    563 pages
    ISBN:9781605586113
    DOI:10.1145/2691195
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    • Macao Foundation, Macao SAR Govt: Macao Foundation, Macao SAR Government
    • Municipio de Guimarães: Municipio de Guimarães

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 October 2014

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    Author Tags

    1. apriori algorithm
    2. chinese segmentation
    3. preferences of tourists
    4. social network
    5. topic modeling

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    ICEGOV2014
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    • Macao Foundation, Macao SAR Govt
    • Municipio de Guimarães

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    ICEGOV '14 Paper Acceptance Rate 30 of 73 submissions, 41%;
    Overall Acceptance Rate 350 of 865 submissions, 40%

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    • (2019)Managing customer knowledge through the use of big data analytics in tourism researchCurrent Issues in Tourism10.1080/13683500.2018.1564739(1-22)Online publication date: 15-Jan-2019

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