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When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation

Authors
Kim, Young BinLee, JurimPark, NuriChoo, JaegulKim, Jong-HyunKim, Chang Hun
Issue Date
12-5월-2017
Publisher
PUBLIC LIBRARY SCIENCE
Citation
PLOS ONE, v.12, no.5
Indexed
SCIE
SCOPUS
Journal Title
PLOS ONE
Volume
12
Number
5
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/83463
DOI
10.1371/journal.pone.0177630
ISSN
1932-6203
Abstract
Bitcoin is an online currency that is used worldwide to make online payments. It has consequently become an investment vehicle in itself and is traded in a way similar to other open currencies. The ability to predict the price fluctuation of Bitcoin would therefore facilitate future investment and payment decisions. In order to predict the price fluctuation of Bitcoin, we analyse the comments posted in the Bitcoin online forum. Unlike most research on Bitcoin- related online forums, which is limited to simple sentiment analysis and does not pay sufficient attention to note-worthy user comments, our approach involved extracting keywords from Bitcoin-related user comments posted on the online forum with the aim of analytically predicting the price and extent of transaction fluctuation of the currency. The effectiveness of the proposed method is validated based on Bitcoin online forum data ranging over a period of 2.8 years from December 2013 to September 2016.
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Graduate School > Department of Artificial Intelligence > 1. Journal Articles
Graduate School > Department of Computer Science and Engineering > 1. Journal Articles

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