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 in-stead. In addition, people who visited tourist spots wrote their experiences on SNS. Information analysis on the Internet is becoming necessary to increase the number of tourists. We collect regional information from the huge amount of data that exists on the Web for use in tourism promotion and regional promotion. We perform text mining analysis on the collected data. The purpose is to extract useful knowledge and insights based on the results. In this research, we analyze the differences in tourist information between the corona disaster and the non-corona disaster. We examine and compare whether there are differences in the information disseminated by SNS and other means.