Local tourism analysis using data collected from SNS

Abstract

The Internet is becoming more common as a means of collecting tourist information. Traditionally, travel information has been collected from travel magazines, television, travel agencies, etc. However, due to the widespread use of the Internet, tourist information is being acquired by searching the Internet instead. In addition, people who visited tourist spots wrote their experiences on his SNS. Information analysis on the Internet is becoming necessary to increase the number of tourists. In this research, we collect regional information from the huge amount of data that exists on the Web for use in tourism promotion and regional promotion. Perform text mining analysis on the collected data. The purpose is to extract useful knowledge and knowledge based on the results. We focused on Twitter, which has high breaking news and diffusivity among SNS. Twitter can easily send information and is considered to be suitable for obtaining various knowledge. The purpose of this study is to obtain knowledge about tourism by collecting data posted on Twitter and extracting data related to tourism from it.