Finding good users to follow in social network services such as Twitter is one way to communicate and share information about a topic of interest with other users efficiently. However, it is not easy to find such users due to a massive number of users. In this paper, we classify Twitter users according to tweet frequency, tweet content, communication style, and follow relation, then present a method for finding good users to follow based on the user classification. The method is incorporated with our previous work on Twitter user search, and we show that the search performance is improved by the method.