BITCOIN PRICE PREDICTION WITH COVID-19 SENTIMENT USING LSTM NEURAL NETWORK

Shachi Bhavsar, Ravi Gor
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Abstract

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.
基于LSTM神经网络的COVID-19情绪下比特币价格预测
加密货币由于其低交易成本、区块链安全平台、利润等各种优势,如今越来越受欢迎。比特币作为市值最高的货币,在covid-19大流行期间获得了更多的欢迎。本研究的重点是基于covid-19情绪的比特币价格预测。这里使用基于机器学习的长短期记忆深度学习模型进行价格预测。最后,对有covid-19情绪和没有covid-19情绪的两种结果进行比较,哪一种结果表明添加情绪后模型表现更好。
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