2408 16942 A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
A beginners guide to natural language sentiment analysis If so, these two groups behave fundamentally differently from one another and thus represent two distinct types of investors. Additionally, the results show that cryptocurrency enthusiasts began to tweet relatively more often after the cryptocurrency crash, suggesting that multiple behavioral changes occurred as a consequence of the …