Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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
May-2017
Publisher
PUBLIC LIBRARY SCIENCE
Citation
PLOS ONE, v.12, no.5
Journal Title
PLOS ONE
Volume
12
Number
5
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40803
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.
Files in This Item
Appears in
Collections
Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Young Bin photo

Kim, Young Bin
첨단영상대학원 (영상학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE