A Study of a Method to Understand the Intention of Taste Expressions of Sake through Text Mining

摘要

We study the intended meaning of taste expressions used to describe sake which cannot be clearly defined, by using word-of-mouth information from users on an e-commerce site. Furthermore, we elucidate the taste characteristics perceived by ordinary consumers of sake. We conducted a multiple regression analysis with “Nihonshu-do(Sake meter value),” “San-do(Acidty),” “Amakara-do” and “Noutan-do” as objective variables, and the frequency of various taste expressions, confirmed by word-of-mouth information, as the explanatory variable. Through this analysis, we clarified the relationship between various taste expressions and the “Nihonshu-do,” “San-do,” “Amakara-do,” and “Noutan-do” of sake. We were thus able to make a quantitative evaluation of ambiguous taste expressions related to sake.