A case study on mining social media data

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

Research output: Contribution to conferencePaper

4 Citations (Scopus)
33 Downloads (Pure)

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 languageEnglish
Pages593-596
DOIs
Publication statusPublished - 2014
Event2014 IEEE International Conference on Industrial Engineering and Engineering Management - Bandar Sunway, Malaysia
Duration: 9 Dec 201412 Dec 2014

Conference

Conference2014 IEEE International Conference on Industrial Engineering and Engineering Management
CountryMalaysia
CityBandar Sunway
Period9/12/1412/12/14

Keywords

  • data mining
  • social networking (online)
  • corporate Web-sites
  • decision making
  • operations management research
  • process design
  • product design
  • social media Web sites
  • social media comment analysis
  • social media data mining
  • statistical cluster analysis
  • structured approach
  • Social Media
  • cluster analysis
  • content analysis
  • text mining
  • Correlation coefficient
  • Data mining
  • Decision making
  • Educational institutions
  • Facebook
  • Media

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