A case study on mining social media data

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...

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Bibliographic Details
Published in2014 IEEE International Conference on Industrial Engineering and Engineering Management pp. 593 - 596
Main Authors Chan, H. K., Lacka, E., Yee, R. W. Y., Lim, M. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2014
Subjects
cluster analysis
content analysis
Correlation coefficient
Data mining
Decision making
Educational institutions
Facebook
Media
Social Media
text mining
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Summary: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.
ISSN:2157-3611
2157-362X
DOI:10.1109/IEEM.2014.7058707