Furthermore , each topic defines a multinomial distribution over a set of terms .
Similarly to LDA and pLSA , in a dynamic topic model , each document is viewed as a mixture of unobserved topics .
Each topic defines a multinomial distribution over a set of terms .
Similarly to LDA and pLSA , in a dynamic topic model , each document is viewed as a mixture of unobserved topics .