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
Submitted by: MuhammadD) Alpha: density of topics generated within documents, beta: density of terms generated within topics True
Submitted by: Muhammad
Submitted by: Muhammad
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