Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model

Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model

In this paper, we analyze Twitter signals as a medium for user sentiment to predict the price fluctuations of a small-cap alternative cryptocurrency called ZClassic. We extracted tweets on an hourly basis for a period of 3.5 weeks, classifying each tweet as positive, neutral, or negative. We then co...

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Bibliographic Details
Main Authors: Tianyu Ray Li, Anup S. Chamrajnagar, Xander R. Fong, Nicholas R. Rizik, Feng Fu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Physics
Subjects:
data science
cryptocurrency
tree-model
Twitter sentiment
social dynamics
data integration and computational methods
Online Access:https://www.frontiersin.org/article/10.3389/fphy.2019.00098/full

Internet

https://www.frontiersin.org/article/10.3389/fphy.2019.00098/full

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