The document proposes a hybrid artificial intelligence model for predicting the spread of COVID-19. It introduces an advanced susceptible-infected model to estimate infection rates over time. A natural language processing module and long short-term memory network are then embedded into the model to account for prevention measures and increased public awareness. Experimental results on epidemic data from various regions show the hybrid model can more accurately predict case numbers in the next six days compared to conventional epidemic models.