A Novel Dynamic Model for Ranking Cryptocurrencies in Different Time Horizons Based on Deep Learning and Sentiment Analysis
This paper addresses the imperative task of assessing and ranking cryptocurrencies, particularly pertinent After Care in the context of the burgeoning popularity of public blockchains.The proliferation of available options necessitates a rigorous evaluation, prompting the formulation of a novel model grounded in both objective and subjective criter