Statistical Analysis for Marketing on Facebook : Text Mining and Clustering Approaches(Competition 1)

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概要

• 論文の詳細を見る

• This paper focuses on the role of the "Like" button on "Facebook Pages" and proposes on approach of analysis for increasing the number of "Likes" on a "Facebook Page." The paper uses the latent class models to analyze the relationship between the number of "Likes" and the contents of "Posts". After the latent class analysis, the average number of "Likes" according to class groupings will be compared. The data taken from Facebook focuses on the case of one company: Satisfaction Guaranteed. Results will show how the proposed approach of analysis to measure independent variable patterns is responsible for increasing the number of "Likes" on the "Facebook Page" of Satisfaction Guaranteed using the latent class analysis.

• 2011-11-11

著者

• Yamaguchi Kazunori

  College Of Business Rikkyo University

• Johjima Maki

  Graduate School of Business, Rikkyo University

• Johjima Maki

  Graduate School Of Business Rikkyo University

関連論文

• Statistical Analysis for Marketing on Facebook : Text Mining and Clustering Approaches(Competition 1)
• An e-Learning Course for Multivariate Analysis : The Case of Rikkyo University(Session 1a)

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