Pannawit Samatthiyadikun

This PhD dissertation is a study of Bayesian topic modeling on academic articles bibliography data with multiple features, and application examples of the model such as keyword recommendation. It is also extended to the special case that those articles are polylingual. We further investigate for improvement, especially using deep learning techniques, and integrated them into the model learning procedure with cutting-edge technique to boost up each topic topical quality and meaning.