A case study on mining social media data

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

doi:10.1109/IEEM.2014.7058707

A case study on mining social media data

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

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

Abstract / Description of output

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	2014 IEEE International Conference on Industrial Engineering and Engineering Management
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781479964109
DOIs	https://doi.org/10.1109/IEEM.2014.7058707
Publication status	Published - 1 Mar 2015

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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.",

author = "Chan, {H. K.} and E. Lacka and Yee, {R. W. Y.} and Lim, {M. K.}",

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Y1 - 2015/3/1

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.

UR - http://eprints.gla.ac.uk/157225/

U2 - 10.1109/IEEM.2014.7058707

DO - 10.1109/IEEM.2014.7058707

M3 - Conference contribution

BT - 2014 IEEE International Conference on Industrial Engineering and Engineering Management

PB - Institute of Electrical and Electronics Engineers

ER -

A case study on mining social media data

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