Analysis of Tourism Information Using Twitter in Shimonoseki Area

Abstract

Traditionally, information on travel has been obtained from travel magazines, television and travel agents. Recently, it is commonplace to use the Internet as a means of collecting information on sightseeing and recreation. Visitors to a sightseeing spot transmit their experiences and impressions through blogs and social networking service (SNS). For this reason, it is essential to transmit and collect information on the Web for the promotion of tourism and regional development. In this paper, we collect regional information from the vast amount of data that exists on the Web for use in tourism promotion and regional development. The purpose of this paper is to extract useful knowledge from that information by using text mining. We focused on Twitter, which has a high degree of breaking news and diffusion among many social networking sites. And because of its suitability for various kinds of knowledge. We collected data posted around Shimonoseki City, and extracted data on tourism from them in order to gain knowledge about tourism. Tourist destinations that are talked about in social networking sites may be different from traditional tourist destinations. We will collect data on tweets posted around Shimonoseki and consider whether we can find new tourism resources.