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I am trying to read Latent Dirichlet Allocation model for Topic modeling. But I am not able to understand how they sample values from a distribution, draw a distribution from a process. In particular drawing from Dirichlet distribution / process. I want to understand all these sampling using MATLAB / R. Please suggest some book/references where I can read the theory part as well as implementation using MATLAB / R. I have very basic knowledge of probability / statistics.

I want to learn from the basics of sampling and its implementation then move to LDA topic modeling.

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I'm not sure i got your request, but i've found the article that might be useful for you.

https://cran.r-project.org/web/packages/topicmodels/vignettes/topicmodels.pdf

Also u could investigate lda package doc to get some examples and description of each method.

https://cran.r-project.org/web/packages/lda/lda.pdf

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