Lexicon-enhanced machine learning techniques for predicting risks in cryptocurrencies
A. Darwiesh, M. Elhoseny, Ali Hassan El-Baz, M. A. Nour · IET conference proceedings. · 2024
This study presents a new approach to predict cryptocurrencies risks based on social media platform indicators. This method can help cryptocurrency investors in their future decision-making. It utilizes advanced techniques such machine learning and natural language processing. Furthermore, a case study on American cryptocurrency investors is provided to help them identify and assess the risks associated with their purchases. Moreover, performance metrics are computed to demonstrate the capabilities of the new approach.