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.
K. Sainani. PM & R : the journal of injury, function, and rehabilitation, 1 (12):
1098-103(December 2009)5645<m:linebreak></m:linebreak>JID: 101491319; 2009/10/09 received; 2009/10/09 accepted; ppublish;<m:linebreak></m:linebreak>Comparacions múltiples.