A case study on mining social media data

H. K. Chan; E. Lacka; Wai Yee Yee; M. K. Lim

doi:10.1109/IEEM.2014.7058707

A case study on mining social media data

H. K. Chan, E. Lacka, Wai Yee Yee, M. K. Lim

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 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.

Original language	English
Title of host publication	IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management
Publisher	IEEE Computer Society
Pages	593-596
Number of pages	4
Volume	2015-January
ISBN (Electronic)	9781479964109
DOIs	https://doi.org/10.1109/IEEM.2014.7058707
Publication status	Published - 1 Jan 2014
Event	2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014 - Selangor, Malaysia Duration: 9 Dec 2014 → 12 Dec 2014

Conference

Conference	2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014
Country/Territory	Malaysia
City	Selangor
Period	9/12/14 → 12/12/14

Keywords

cluster analysis
content analysis
Social Media
text mining

ASJC Scopus subject areas

Business, Management and Accounting (miscellaneous)
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality

More information

10.1109/IEEM.2014.7058707

Cite this

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title = "A case study on mining social media data",

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, WY & Lim, MK 2014, A case study on mining social media data. in IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management. vol. 2015-January, 7058707, IEEE Computer Society, pp. 593-596, 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014, Selangor, Malaysia, 9/12/14. https://doi.org/10.1109/IEEM.2014.7058707

A case study on mining social media data. / Chan, H. K.; Lacka, E.; Yee, Wai Yee et al.
IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management. Vol. 2015-January IEEE Computer Society, 2014. p. 593-596 7058707.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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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.

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A case study on mining social media data

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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