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

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Détails bibliographiques
Publié dans:	PLoS One vol. 12, no. 5 (May 2017), p. e0177630
Auteur principal:	Young Bin Kim
Autres auteurs:	Lee, Jurim, Park, Nuri, Choo, Jaegul, Jong-Hyun, Kim, Kim, Chang Hun
Publié:	Public Library of Science
Sujets:	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
Accès en ligne:	Citation/Abstract Full Text Full Text - PDF
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