A Tour of Analysis of Foreign Visitors to Japan by Applying Topic Model

Abstract

Inbound policy making requires to identify the tour trip characteristics. The exogenous data aggregation would be, however, difficult because of too many possibilities in the combination of tour, or trip attributes. In order to find some significant and representative tour or trip patterns in foreign visitors to Japan, an analytical tool to overcome the conventional problems should be developed. This study applies a topic model, which can efficiently analyze the latent patterns in the Bag-of-words data set, to the data in Flow of Foreigners visiting to Japan, and clarifies the change of tour trip patterns.