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Global cryptocurrency trend prediction using social media

机译:使用社交媒体的全局加密趋势趋势预测

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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.
机译:本文旨在调查全球密码货币价格运动趋势与社交媒体通信数据。 该想法是分析在线社区和社交媒体平台的主题趋势,了解和提取可用于预测密码货币价格波动的见解。 假设依赖于寻找经验证据,以利用价格变异与社交媒体活动之间的关系。 此类模型和洞察力将帮助我们更好地了解社交媒体行为背景下的加密货币生态系统,该行为可用于实时交易系统。

著录项

  • 来源
    《Information Processing & Management》 |2021年第6期|102708.1-102708.11|共11页
  • 作者单位

    College of Science and Engineering Hamad Bin Khalifa University Doha Qatar;

    Department of Computer Science Kennesaw State University Marietta CA 30060 USA;

    College of Science and Engineering Hamad Bin Khalifa University Doha Qatar;

    Department of Electrical-Electronics Engineering Trakya University Edirne 22030 Turkey;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cryptocurrency; Social media; Machine learning;

    机译:加密货币;社交媒体;机器学习;
  • 入库时间 2022-08-19 03:06:55

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