tomotopy is a Python extension of tomoto (Topic Modeling Tool) which is a Gibbs-sampling based topic model library written in C++. It utilizes a vectorization of modern CPUs for maximizing speed. The current version of tomoto supports several major topic models including
In natural language understanding, there is a hierarchy of lenses through which we can extract meaning - from words to sentences to paragraphs to documents. At the document level, one of the most useful ways to understand text is by analyzing its topics.
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A. Ferraro, M. Ekstrand, and C. Bauer. Proceedings of the 18th ACM Conference on Recommender Systems, page 884–889. New York, NY, USA, Association for Computing Machinery, (Oct 8, 2024)