A case study on mining social media data

H. K. Chan, E. Lacka, R. W. Y. Yee, M. K. Lim

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

In recent years, usage of social media websites have been soaring. This trend not only limits to personal but corporate web-sites. The latter platforms contain an enormous amount of data posted by customers or users. Without a surprise, the data in corporate social media web-sites are normally link to the products or services provided by the companies. Therefore, the data can be utilized for the sake of companies’ benefits. For example, operations management research and practice with the objective to make decisions on product and process design. Nevertheless, little has been done in this area. In this connection, this paper presents a case study to showcase how social media data can be exploited. A structured approach is proposed which involves the analysis of social media comments and a statistical cluster analysis to identify the inter-relationships among important factors.

Conference

ConferenceIEEM 2014
CountryMalaysia
CityKuala Lumpur
Period9/12/1412/12/14

Fingerprint

Websites
Cluster analysis
Product design
Process design
Industry
Social media
Web sites

Keywords

  • data mining
  • social media
  • social networks
  • social graph
  • text mining
  • content analysis
  • cluster analysis

Cite this

Chan, H. K., Lacka, E., Yee, R. W. Y., & Lim, M. K. (2014). A case study on mining social media data. Paper presented at IEEM 2014, Kuala Lumpur, Malaysia. https://doi.org/10.1109/IEEM.2014.7058707
Chan, H. K. ; Lacka, E. ; Yee, R. W. Y. ; Lim, M. K. / A case study on mining social media data. Paper presented at IEEM 2014, Kuala Lumpur, Malaysia.4 p.
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abstract = "In recent years, usage of social media websites have been soaring. This trend not only limits to personal but corporate web-sites. The latter platforms contain an enormous amount of data posted by customers or users. Without a surprise, the data in corporate social media web-sites are normally link to the products or services provided by the companies. Therefore, the data can be utilized for the sake of companies’ benefits. For example, operations management research and practice with the objective to make decisions on product and process design. Nevertheless, little has been done in this area. In this connection, this paper presents a case study to showcase how social media data can be exploited. A structured approach is proposed which involves the analysis of social media comments and a statistical cluster analysis to identify the inter-relationships among important factors.",
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Chan, HK, Lacka, E, Yee, RWY & Lim, MK 2014, 'A case study on mining social media data' Paper presented at IEEM 2014, Kuala Lumpur, Malaysia, 9/12/14 - 12/12/14, . https://doi.org/10.1109/IEEM.2014.7058707

A case study on mining social media data. / Chan, H. K.; Lacka, E.; Yee, R. W. Y.; Lim, M. K.

2014. Paper presented at IEEM 2014, Kuala Lumpur, Malaysia.

Research output: Contribution to conferencePaper

TY - CONF

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AU - Chan, H. K.

AU - Lacka, E.

AU - Yee, R. W. Y.

AU - Lim, M. K.

N1 - © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2014/12

Y1 - 2014/12

N2 - In recent years, usage of social media websites have been soaring. This trend not only limits to personal but corporate web-sites. The latter platforms contain an enormous amount of data posted by customers or users. Without a surprise, the data in corporate social media web-sites are normally link to the products or services provided by the companies. Therefore, the data can be utilized for the sake of companies’ benefits. For example, operations management research and practice with the objective to make decisions on product and process design. Nevertheless, little has been done in this area. In this connection, this paper presents a case study to showcase how social media data can be exploited. A structured approach is proposed which involves the analysis of social media comments and a statistical cluster analysis to identify the inter-relationships among important factors.

AB - In recent years, usage of social media websites have been soaring. This trend not only limits to personal but corporate web-sites. The latter platforms contain an enormous amount of data posted by customers or users. Without a surprise, the data in corporate social media web-sites are normally link to the products or services provided by the companies. Therefore, the data can be utilized for the sake of companies’ benefits. For example, operations management research and practice with the objective to make decisions on product and process design. Nevertheless, little has been done in this area. In this connection, this paper presents a case study to showcase how social media data can be exploited. A structured approach is proposed which involves the analysis of social media comments and a statistical cluster analysis to identify the inter-relationships among important factors.

KW - data mining

KW - social media

KW - social networks

KW - social graph

KW - text mining

KW - content analysis

KW - cluster analysis

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DO - 10.1109/IEEM.2014.7058707

M3 - Paper

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Chan HK, Lacka E, Yee RWY, Lim MK. A case study on mining social media data. 2014. Paper presented at IEEM 2014, Kuala Lumpur, Malaysia. https://doi.org/10.1109/IEEM.2014.7058707