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Forecasting Crypto-Asset Price Using Influencer Tweets

  • Hirofumi YamamotoEmail author
  • Hiroki Sakaji
  • Hiroyasu Matsushima
  • Yuki Yamashita
  • Kyohei Osawa
  • Kiyoshi Izumi
  • Takashi Shimada
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)

Abstract

Nowadays, crypto-asset is gaining immense interest in the field of finance. Bitcoin is a one such crypto-asset with a trading volume of more than 5 billion a day. On social networking services, there are people who have a great influence on social media users; these people are called influencers. In this study, we focus on crypto-asset influencers. We consider that influencer tweets may affect crypto-asset prices. In this research, we propose a method to predict whether bitcoin price will increase or decrease using influencer tweets. For this, we collect influencer tweets to extract features using natural language processing techniques; these features are used as input for machine learning methods, which also use bitcoin price data. The results of our experiment show that the influencer tweets affect crypto-asset prices.

Keywords

Text mining Machine learning Crypto-asset 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Hirofumi Yamamoto
    • 1
    Email author
  • Hiroki Sakaji
    • 1
  • Hiroyasu Matsushima
    • 1
  • Yuki Yamashita
    • 2
  • Kyohei Osawa
    • 2
  • Kiyoshi Izumi
    • 1
  • Takashi Shimada
    • 1
  1. 1.The University of TokyoBunkyo-kuJapan
  2. 2.Information Services International-Dentsu, Ltd.Minato-kuJapan

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