Sentiment Analysis Using R: An Approach to Correlate Cryptocurrency Price Fluctuations with Change in User Sentiment Using Machine Learning

Abstract

In this paper, we have proposed the correlation between the price change of Bitcoin and its user's sentiment by implementing machine learning algorithms. In this model, we have clearly described our goals of implementation, the process of implementation along with its final analysis and the considering predicted price change and actual price change. We approached the ambitious problem of predicting Bitcoin price change with sentiment in the hope that we find the significance of people's opinion in the field of cryptocurrency. Also, this research introduces a new way of utilizing social networking sites' data.