A Scalable Asynchronous Distributed Algorithm for Topic Modeling

Proceedings of the 24th International Conference on World Wide Web, pp. 1340-1350, 2015.

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Abstract:

Learning meaningful topic models with massive document collections which contain millions of documents and billions of tokens is challenging because of two reasons. First, one needs to deal with a large number of topics (typically on the order of thousands). Second, one needs a scalable and efficient way of distributing the computation ac...More

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