Hi, I am new to Pymc3 and I am working on sentiment analysis with a topic model that has more nested latent variables and more hierarchies than LDA. I want to use Gibbs Sampling methods in Pymc3 to inference the latent word distribution for both sentiment words and non-sentiment words. In my model,…

Thank you very much for your help. I would play around more with the code of these similar topics.

[How to Improve] Complicated Topic Model with too much RVs failed to Sample

junpenglao July 18, 2019, 5:05am 2

These kind of model you usually need to rewrite them into a marginalized mixture model to be able to do effective influence. You can take a look at the following related topics:

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[How to Improve] Complicated Topic Model with too much RVs failed to Sample

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