Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Sentiment-based Bitcoin Movement Prediction with Deep Learning

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322739,
        author={Yiyang  Li},
        title={Sentiment-based Bitcoin Movement Prediction with Deep Learning},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={bitcoin; sentiment; neural networks; deep learning},
        doi={10.4108/eai.17-6-2022.2322739}
    }
    
  • Yiyang Li
    Year: 2022
    Sentiment-based Bitcoin Movement Prediction with Deep Learning
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322739
Yiyang Li1,*
  • 1: Information & Computer Sciences University of California
*Contact email: Yiyal12@uci.edu

Abstract

Bitcoin movement prediction has been a research topic, especially with the Bitcoin bubble period during the COVID-10 pandemic era. It has been discussed that sentiment factors are influential in the prediction process. In this study, to validate the helpfulness of these emotion-related features, three open datasets with sentiment are used, and three types of neural networks, including LSTM, GRU, and TCN, are chosen as the prediction models, using a regression model to study the relationship between them. The result shows that the sentiment-based factors did help in two of the three datasets.