Research Article
Sentiment-based Bitcoin Movement Prediction with Deep Learning
@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
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.
Copyright © 2022–2024 EAI
