A case study on mining social media data

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

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)
220 Downloads (Pure)


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 languageEnglish
Number of pages4
Publication statusPublished - Dec 2014
EventIEEM 2014 - Sunway Resort Hotel & Spa, Kuala Lumpur, Malaysia
Duration: 9 Dec 201412 Dec 2014


ConferenceIEEM 2014
CityKuala Lumpur


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


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