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A topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents.

12 votes
0 answers
2k views

Is sparsity of topics a necessary condition for latent Dirichlet allocation (LDA) to work

I have been playing with the hyper-parameters of the latent Dirichlet allocation (LDA) model and am wondering how sparsity of topic priors play a role in inference. I have not performed these experime …
kedarps's user avatar
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5 votes
1 answer
10k views

Why does lower perplexity indicate better generalization performance?

In the seminal paper on Latent Dirichlet Allocation, the authors state that, A lower perplexity score indicates better generalization performance. $perplexity(D_{test})=exp\Big\{-\frac{\sum_{d=1}^{M} …
kedarps's user avatar
  • 3,602
2 votes
1 answer
395 views

Question about implementing nested Chinese Restaurant Process (nCRP)

I am trying to follow the original paper on nCRP by Blei et al., 2010 and am confused with it's implementation. The authors describe the analogy for an nCRP as follows: A tourist arrives at the c …
kedarps's user avatar
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