what is the go-to tool for LDA these days, which is easy to run and gets good results? back at the day it was mallet with the awesome hyperparametr optimization by @hannawallach and @dmimno , is that still the case? or do we have friendlier/jvm-less options now?
When I was at @awscloud I built LDA algorithm based on spectral methods into #SageMaker platform. It is containerized and fast! Please try it out. It is much faster than Mallet. We have documented it. https://docs.aws.amazon.com/sagemaker/latest/dg/lda.html …
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Does it work well also for smaller document collections? (I am not familiar with the spectral method, does it solve the actual objective, the variational one, or other?)
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Yes, we tried for both small document collections (UCI datasets) and larger ones. This is the paper (short document example at end of appendix) https://arxiv.org/pdf/1204.6703.pdf … and my talkhttps://www.youtube.com/watch?v=mINfveR9VVE …
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