שאלה | How does Latent Dirichlet Allocation (LDA) iteratively determine the topics present in a collection of documents?

How does Latent Dirichlet Allocation (LDA) iteratively determine the topics present in a collection of documents?

		By initially assuming random topic assignments for each word, then refining these assignments based on the observed word distributions and topic proportions.
		By calculating the frequency of each word in the corpus and assigning topics based on word frequency.
		By iteratively adjusting the number of topics until the model converges to the optimal solution.