Research experience of big data analytics: The tools for government - A case using social network in mining preferences of tourists

Luo Peipeng; Rita Tse Tan Sim

doi:10.1145/2691195.2691200

Research experience of big data analytics: The tools for government - A case using social network in mining preferences of tourists

Luo Peipeng, Rita Tse Tan Sim

Faculty of Applied Sciences

Macao Polytechnic University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	ICEGOV 2014 - 8th International Conference on Theory and Practice of Electronic Governance - Proceedings
Editors	Elsa Estevez, Marijn Janssen, Luis Soares Barbosa
Publisher	Association for Computing Machinery
Pages	312-315
Number of pages	4
ISBN (Electronic)	9781605586113
DOIs	https://doi.org/10.1145/2691195.2691200
Publication status	Published - 27 Oct 2014
Event	8th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2014 - Guimaraes, Portugal Duration: 27 Oct 2014 → 30 Oct 2014

Publication series

Name	ACM International Conference Proceeding Series
Volume	2014-January

Conference

Conference	8th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2014
Country/Territory	Portugal
City	Guimaraes
Period	27/10/14 → 30/10/14

Keywords

Apriori algorithm
Chinese segmentation
Preferences of tourists
Social network
Topic modeling

Access to Document

10.1145/2691195.2691200

Cite this

Peipeng, L., & Sim, R. T. T. (2014). Research experience of big data analytics: The tools for government - A case using social network in mining preferences of tourists. In E. Estevez, M. Janssen, & L. S. Barbosa (Eds.), ICEGOV 2014 - 8th International Conference on Theory and Practice of Electronic Governance - Proceedings (pp. 312-315). (ACM International Conference Proceeding Series; Vol. 2014-January). Association for Computing Machinery. https://doi.org/10.1145/2691195.2691200

Peipeng, Luo ; Sim, Rita Tse Tan. / Research experience of big data analytics : The tools for government - A case using social network in mining preferences of tourists. ICEGOV 2014 - 8th International Conference on Theory and Practice of Electronic Governance - Proceedings. editor / Elsa Estevez ; Marijn Janssen ; Luis Soares Barbosa. Association for Computing Machinery, 2014. pp. 312-315 (ACM International Conference Proceeding Series).

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title = "Research experience of big data analytics: The tools for government - A case using social network in mining preferences of tourists",

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.",

keywords = "Apriori algorithm, Chinese segmentation, Preferences of tourists, Social network, Topic modeling",

author = "Luo Peipeng and Sim, {Rita Tse Tan}",

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doi = "10.1145/2691195.2691200",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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booktitle = "ICEGOV 2014 - 8th International Conference on Theory and Practice of Electronic Governance - Proceedings",

}

Peipeng, L & Sim, RTT 2014, Research experience of big data analytics: The tools for government - A case using social network in mining preferences of tourists. in E Estevez, M Janssen & LS Barbosa (eds), ICEGOV 2014 - 8th International Conference on Theory and Practice of Electronic Governance - Proceedings. ACM International Conference Proceeding Series, vol. 2014-January, Association for Computing Machinery, pp. 312-315, 8th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2014, Guimaraes, Portugal, 27/10/14. https://doi.org/10.1145/2691195.2691200

Research experience of big data analytics: The tools for government - A case using social network in mining preferences of tourists. / Peipeng, Luo; Sim, Rita Tse Tan.
ICEGOV 2014 - 8th International Conference on Theory and Practice of Electronic Governance - Proceedings. ed. / Elsa Estevez; Marijn Janssen; Luis Soares Barbosa. Association for Computing Machinery, 2014. p. 312-315 (ACM International Conference Proceeding Series; Vol. 2014-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

KW - Apriori algorithm

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Peipeng L, Sim RTT. Research experience of big data analytics: The tools for government - A case using social network in mining preferences of tourists. In Estevez E, Janssen M, Barbosa LS, editors, ICEGOV 2014 - 8th International Conference on Theory and Practice of Electronic Governance - Proceedings. Association for Computing Machinery. 2014. p. 312-315. (ACM International Conference Proceeding Series). doi: 10.1145/2691195.2691200

Research experience of big data analytics: The tools for government - A case using social network in mining preferences of tourists

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Keywords

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