Extraction of Tourist Attention Points from Low-rated Reviews and their Classification

Abstract

There are various Internet sites for tourists and a lot of positive and negative word-of-mouses are posted from tourists. Negative information can be used as attention points for sightseeing to prevent the same mistakes for their first visit. The purpose of this research is to extract such negative information from word-of-mouth as tourist attention points and classify them for easy-to-understand. In the experiments, we extracted attention points from actual tourist reviews and classified them based on target of the points.