Beyond LDA: State-of-the-art Topic Models With BigARTM

Introduction This post follows up on the series of posts in Topic Modeling for text analytics. Previously, we looked at the LDA (Latent Dirichlet Allocation) topic modeling library available within MLlib in PySpark. While LDA is a very capable tool, here we look at a more scalable and state-of-the-art technique called BigARTM. LDA is based... The post Beyond LDA: State-of-the-art Topic Models With BigARTM appeared first on Databricks....

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