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

Guardado en:

Detalles Bibliográficos
Publicado en:	PLoS One vol. 12, no. 5 (May 2017), p. e0177630
Autor principal:	Young Bin Kim
Otros Autores:	Lee, Jurim, Park, Nuri, Choo, Jaegul, Jong-Hyun, Kim, Kim, Chang Hun
Publicado:	Public Library of Science
Materias:	Korea University Economic Accessibility Internet Computer science Bolts Nuts (fasteners) Fluid flow Computer applications Social behavior Information dissemination Decision support systems Influenza Money laundering Information processing Mathematical models Computers Terrorism Bivariate analysis Research Web 2.0 Visual perception Computation Finance Data processing Trends Circulation Software Language Interdisciplinary aspects Media Deception Bulletin boards Communities Keywords Representations Washing Informatics Computer programs Social organization Neural networks On-line systems Learning Social interactions Predictions Human behavior Currency Big Data Social networks Digital currencies Sentiment analysis User behavior Data mining
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Descripción
Resumen:	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.
ISSN:	1932-6203
DOI:	10.1371/journal.pone.0177630
Fuente:	Health & Medical Collection