A study on automatic analysis of social network services using opinion mining

  • Authors:
  • Ye Jin Kwon;Young Bom Park

  • Affiliations:
  • Information Architecture Labority, Department of Computer Science and Engineering, Dankook University, Cheonan, Korea;Information Architecture Labority, Department of Computer Science and Engineering, Dankook University, Cheonan, Korea

  • Venue:
  • FGIT'11 Proceedings of the Third international conference on Future Generation Information Technology
  • Year:
  • 2011

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Abstract

By the arrival of the social network services, the online community changed from information-centered to relation-centered. so the research which analyses relational-centered online community is being actively in progress. However, since the analysing methods of the social network services designed to handle massive data, are not formalized yet, only the partial analysis results is being used to extract the conclusions. In this study, the massive data generated by the social network services are automatically classified using SVM, and the methodology which analyses relational tendency of each user's interaction using opinion mining is proposed.