Extraction of Latent Event Topic Using Population Data and Topic Mode

Abstract

Predicting the number of visitors to an event is an important issue in reducing congestion. In this paper, we proposed a method to predicting the number of visitors. To predict visitor, we used neural topic model based on Joint Multimodal Variational AutoEncoder (JMVAE) and Student-t Variational Autoencoder with Implicit Optimal Priors. In the experiment, our proposed method showed higher prediction accuracy in root absolute error compared to conventional methods.