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.
Y. Zuo, J. Wu, H. Zhang, H. Lin, F. Wang, K. Xu, and H. Xiong. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 2105–2114. New York, NY, USA, Association for Computing Machinery, (2016)
M. Hossen, M. Faiad, M. Chowdhury, and M. Islam. International Journal of Computer Science & Information Technology (IJCSIT), 10 (1):
95 - 105(February 2018)