Analysis using text mining of the proximity area information collected from SNS

Abstract

Recently, people are collecting regional information using the Internet. Also, the SNS and blog are important tools to transfer information such as regional information and internet user's experience. The development of information and communication technology has enabled to disseminate information easily. Therefore, to write personal experiences on “word of mouth” has a significant public influence. In this study, we collect local information from the big data on the Internet. We focused on Twitter that can transmit information easily. We will analyze the information as a keyword regional name such as “Shimonoseki”, “Kanmon”, “Moji”.