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

Abstract

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.