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Predicting the Currency Market in Online Gaming via Lexicon-Based Analysis on Its Online Forum

Authors
Kim, Young BinKang, KyeongpilChoo, JaegulKang, Shin JinKim, TaeHyeongIm, JaeHoKim, Jong-HyunKim, Chang Hun
Issue Date
2017
Publisher
WILEY-HINDAWI
Citation
COMPLEXITY
Indexed
SCIE
SCOPUS
Journal Title
COMPLEXITY
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/86251
DOI
10.1155/2017/4152705
ISSN
1076-2787
Abstract
Transactions involving virtual currencies are becoming increasingly common, including those in online games. In response, predicting the market price of a virtual currency is an important task for all involved, but it has not yet attracted much attention from researchers. This paper presents user opinions from online forums in a massive multiplayer online game (MMOG) setting widely used around the world. We propose a method for predicting the next-day rise and fall of the currency used in an MMOG environment. Based on analysis of online forum users' opinions, we predict daily fluctuations in the price of a currency used in an MMOG setting. Focusing specifically on the World of Warcraft game, one of the most widely used MMOGs, we demonstrate the feasibility of predicting the fluctuation in value of virtual currencies used in this game community.
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Graduate School > Department of Artificial Intelligence > 1. Journal Articles
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