Bitcoin Investment Classifier using Machine Learning and Sentimental Analysis

Abstract

Cryptocurrency is an intangible asset that has emerged due to the advancement in the fin-tech space and has led to many research opportunities. Cryptocurrency prices are subject to significant volatility, and predicting trends is very difficult. Around the world, there are hundreds of cryptocurrencies that are in daily use for purchasing goods and services or investing. Although Machine Learning models have shown satisfactory results in predicting cryptocurrency prices, it is necessary to consider the public sentiment regarding a cryptocurrency. Public opinion about crypto is most prevalent on Twitter. Therefore, we aim to classify Bitcoin investing better by combining Machine Learning Algorithm LSTM with Sentimental Analysis, which an investor can use to decide whether to buy a cryptocurrency or not.