A Cross-Language Comparison of Tourist Image Using Text Mining

Abstract

Recently, many local governments have tackled tourism promotion with the increase of foreign tourists visiting Japan. It is necessary to grasp the commonness and the difference of impression for capturing consumption by domestic tourists as well as foreign tourists. In this paper, we proposed a framework for the comparison of tourists’ impression and analyzed Word-of-mouth posted on English, Chinese and Japanese on the internet for tourist facilities in Nagoya City. As a result, it was found quantitatively that there are the commonness and the difference in tourists’ impression on tourist facilities between tourists of each language.