Social Media Sentimental Analysis in Exhibition’s Visitor Engagement Prediction

Tian-Shyug  Lee; Ben-Chang  Shia; Chung-Ling  Huh

doi:10.4236/ajibm.2016.63035

Tian-Shyug Lee, Ben-Chang Shia, Chung-Ling Huh^*

Abstract: In the internet age, social media and mobile devices are the most important tools of communication and marketing in the exhibition and event industry. Only a limited research has explored exhibition visitors’ engagement and preference perception through social networking media. Our study explores relationship between Facebook fan pages and visitor engagements of the exhibitions. The study found that the number of visitors, Facebook fans like counts, comment counts, and emotional factors (sentiment polarity) have a significant positive correlation. On the other hand, numbers of visitor rapidly grow every year, but comment sentiment polarity of a positive emotion drops every year. This reduction is the warning sign that the exhibition management and marketing strategy need to be improved in order to continue to have a positive visitor engagement emotion. Our linear Discriminate Analysis (LDA) result found that visitors were highly concerned with gamification activities for an incentive prize both to create involvement and to enhance exhibition experience. Our finding also shows the relevance of both FB like counts and comments generated by social media in relation to the visitor engagement performance. This pioneer study utilized both text mining and sentimental analysis into the exhibition study, especially the area of Asian research.

Keywords: Social Media, Text Mining, Sentimental Analysis, Engagement

Cite this paper: Lee, T. , Shia, B. and Huh, C. (2016) Social Media Sentimental Analysis in Exhibition’s Visitor Engagement Prediction. American Journal of Industrial and Business Management, 6, 392-400. doi: 10.4236/ajibm.2016.63035.

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