Abstract
AIDMA model has been proposed as a consumer buying behavior model. However, buying behavior using the Internet developed was to be performed. Therefore AISAS, AISCEAS and SIPS model and so on was proposed. Recently, information recommendation systems proposed using word-of-mouth information. However, there are few researches about regional characteristic analysis using word-of-mouth information. This paper describes about regional characteristic analysis on Chinese noodle shops using word-of-mouth information. First, the morphological analysis of word-of-mouth information is conducted using MeCab. Second, each information is evaluated effectiveness using TF-IDF method and credibility using semantic orientations of words. Finally, we analyze using SOM (Self-Organizing Maps) and correspondence analysis, and discuss an effectiveness of the proposed method.
