A method to discover spots from Twitter for tour miner
Kazuya Nakahori, Shingo Yamaguchi · 2017
Nowadays huge travel records are accumulated in SNS. It has various user experiences however there exists few study to utilize them to plan tours. We proposed a method to discover spots. We also implemented it as a system. Our system collects geocoded tweets from Twitter and store them in a database automatically. When we input a keyword to the system, it gathers tweet about the keyword from the database, discovers spots by clustering geocode.