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This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

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I'm a beginer of LDA. pls tell me how to use this lda command. usage : lda est [initial alpha] [k] [settings] [data] [random/seeded/*] [directory] lda inf [settings] [model] [data]...

Hi, I am trying to estimate the perplexity on a test set (unseen set of documents). After the inference step on the test set, I see the likelihood file has...

I would like to reproduce the the results in https://github.com/Blei-Lab/lda-c/blob/master/example/ap-topics.pdf however I don't know what settings.txt alpha and seedings were used. Can you please help?

Hi,I am a newer to use lda-c and i couldn't find the function 'lgamma', and i think if this function is 'log_gamma'. thank you!

many people coding python it would be very kind of you to share this code in python thanks