Sentiment-based Bitcoin Movement Prediction with Deep Learning

Yiyang Li

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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Cite: BibTeX Plain Text

@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.

Keywords: bitcoin; sentiment; neural networks; deep learning

Published: 2022-10-13
Publisher: EAI

: http://dx.doi.org/10.4108/eai.17-6-2022.2322739