Global cryptocurrency trend prediction using social media

被引:48
作者
Poongodi, M. [1 ]
Nguyen, Tu N. [2 ]
Hamdi, Mounir [1 ]
Cengiz, Korhan [3 ]
机构
[1] Hamad Bin Khalifa Univ, Coll Sci & Engn, Doha, Qatar
[2] Kennesaw State Univ, Dept Comp Sci, Marietta, GA 30060 USA
[3] Trakya Univ, Dept Elect Elect Engn, TR-22030 Edirne, Turkey
关键词
Cryptocurrency; Social media; Machine learning;
D O I
10.1016/j.ipm.2021.102708
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper aims to investigate the global crypto-currency price movement trends with respect to the social media communication data. The idea is to analyze the topical trends in the online communities and social media platforms to understand and extract insights that could be used to predict the price fluctuations in crypto-currencies. The hypothesis rests in finding the empirical evidence to exploit the relationship between price variations and social media activities. Such models and insights will help us better understand the crypto currency ecosystems in context of social media behavior which can be used for real-time trading systems.
引用
收藏
页数:11
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