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.
M. Shafiei, и E. Milios. ICDM '06: Proceedings of the Sixth International Conference on Data Mining, стр. 542--551. Washington, DC, USA, IEEE Computer Society, (2006)