BITCOIN PRICE PREDICTION WITH COVID-19 SENTIMENT USING LSTM NEURAL NETWORK
DOI:
https://doi.org/10.29121/ijoest.v6.i4.2022.355Keywords:
Supervised learning, Neural Networks, Back Propagation, Long Short term Memory, Gated Recurrent UnitAbstract
Cryptocurrencies are nowadays getting popular for investment due to its various benefits such as low transaction cost, blockchain secured platform, profit, etc. Bitcoin being top of the market capitalization currency, gained more popularity during covid-19 pandemic. This study focuses on bitcoin price prediction with covid-19 sentiment. Here Long Short Term Memory Deep learning model based on machine learning is used for price prediction. At the end both results i.e., with covid-19 sentiment and without it are compared which shows model performs better by adding sentiments.
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Copyright (c) 2022 Bhavsar Shachi, Ravi Gor
This work is licensed under a Creative Commons Attribution 4.0 International License.
