A topic model is an unsupervised machine learning method for unveiling all the different topics underlying a collection of documents. BigML uses Latent Dirichlet allocation (LDA), one of the most popular probabilistic methods for topic modeling. The complete and updated reference with all available parameters is in our
documentation website.
