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Principal Component Analysis on the Twitter Data in the Restaurant Industry

Author

Listed:
  • Koumei Suzuki
  • Yuki Higuchi
  • Kazuhiro Takeyasu

Abstract

Social Networking Service (SNS) is prevailing rapidly in Japan in recent years. Facebook, mixi and Twitter are the popular one. These are utilized in various field of life together with the convenient tool such as smart-phone. In this paper, principal component analysis and cluster analysis are executed in order to clarify the relationship among the corporate performance and the SNS utilization condition. We focus on restaurant industry and convenience store industry, where marketing competition which utilizes SNS to consumers is fierce. Marketing application would then be extracted. Reviewing past researches, there are some related papers, but they do not handle these analysis techniques. Moreover there have been few researches made on our theme stated above. Some interesting results were obtained.

Suggested Citation

  • Koumei Suzuki & Yuki Higuchi & Kazuhiro Takeyasu, 2019. "Principal Component Analysis on the Twitter Data in the Restaurant Industry," International Business Research, Canadian Center of Science and Education, vol. 12(1), pages 88-98, January.
    • Handle: RePEc:ibn:ibrjnl:v:12:y:2019:i:1:p:88-98
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    More about this item

    Keywords

    SNS; twitter; twitter followers; principal component analysis; cluster analysis;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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