How does Latent Class Analysis work on Text Explorer
On the Multivariate Analysis Tool kit Latent Class Analysis is used to predict clusters on Categorical data (Example Health Risk Survey on JMP Library). How is that principle used on Text Data? We get a Document Term Matrix which is either binary (numeric) , Frequency or TF-IDF. We do not get a DTM of Categorical data. So how does LCA work in this case? Does the binary DTM get converted internally...