title: Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies.
abstract: This paper proposes a method to predict fluctuations in the prices of cryptocurrencies, which are increasingly used for online transactions worldwide. Little research has been conducted on predicting fluctuations in the price and number of transactions of a variety of cryptocurrencies. Moreover, the few methods proposed to predict fluctuation in currency prices are inefficient because they fail to take into account the differences in attributes between real currencies and cryptocurrencies. This paper analyzes user comments in online cryptocurrency communities to predict fluctuations in the prices of cryptocurrencies and the number of transactions. By focusing on three cryptocurrencies, each with a large market size and user base, this paper attempts to predict such fluctuations by using a simple and efficient method.
authors.affiliation: Interdisciplinary Program in Visual Information Processing, Korea University, Seoul, Korea.
authors.forename: Young Bin
authors.initials: YB
authors.lastname: Kim
authors.affiliation: School of Games, Hongik University, Seoul, Korea.
authors.forename: Jun Gi
authors.initials: JG
authors.lastname: Kim
authors.affiliation: Department of Computer and Radio Communications Engineering, Korea University, Seoul, Korea.
authors.forename: Wook
authors.initials: W
authors.lastname: Kim
authors.affiliation: Department of Computer and Radio Communications Engineering, Korea University, Seoul, Korea.
authors.forename: Jae Ho
authors.initials: JH
authors.lastname: Im
authors.affiliation: Interdisciplinary Program in Visual Information Processing, Korea University, Seoul, Korea.
authors.forename: Tae Hyeong
authors.initials: TH
authors.lastname: Kim
authors.affiliation: School of Games, Hongik University, Seoul, Korea.
authors.forename: Shin Jin
authors.initials: SJ
authors.lastname: Kang
authors.affiliation: Department of Computer and Radio Communications Engineering, Korea University, Seoul, Korea.
authors.forename: Chang Hun
authors.initials: CH
authors.lastname: Kim
mesh_terms: D003132:Commerce; D006801:Humans; D020407:Internet; D008962:Models, Theoretical