Question

How are the results of LDA typically evaluated?

a.

By performing Bayesian inference

b.

By reporting perplexity based on a held-out set from the training corpus

c.

By analyzing the factorial structure output

d.

By using the Gibbs sampling learning process

Posted under Big Data Computing

Answer: (b).By reporting perplexity based on a held-out set from the training corpus Explanation:The results of LDA are typically evaluated by reporting perplexity based on a held-out set from the training corpus.

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Q. How are the results of LDA typically evaluated?

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