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Assuming that I have already obtained document's topic distribution and topic-word distribution, how to predict the probability of one document will contain some word w_n?

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When we predict the probability of one document,We can use the generated topic-word distribution as a fixed distribution during the iteration, only updating the document-topic distribution,we can get the docuemnt-topic on the test dataset until the convergence.

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