⟩ In Latent Dirichlet Allocation model for text classification purposes, what does alpha and beta hyperparameter represent- A) Alpha number of topics within documents, beta number of terms within topics False B) Alpha density of terms generated within topics, beta density of topics generated within terms False C) Alpha number of topics within documents, beta number of terms within topics False D) Alpha density of topics generated within documents, beta density of terms generated within topics True
D) Alpha: density of topics generated within documents, beta: density of terms generated within topics True
