CRYPTOCURRENCY PREDICTION USING SENTIMENT ANALYSIS

Abstract

Millions of individuals today utilize cryptocurrencies, which have a strong open-source community and payment network. The first study to predict cryptocurrency prices using news and social media emotion was published in In this paper, we apply sentiment analysis and machine learning principles to find the correlation between "public sentiment" and "market sentiment". We use twitter data to predict public mood and use the predicted mood and cryptocurrency financial news to predict the market movements.