Topic Models Release

Fall 2016

Our Fall 2016 release brings Topic Models, the latest resource that helps you easily find thematically related terms in your text data. Discover BigML’s implementation of the underlying Latent Dirichlet Allocation (LDA) technique, one of the most popular probabilistic methods for topic modeling tasks. This resource is included in our FREE version and it is accessible from the BigML Dashboard as well as the API. Topic Models not only help you better understand and organize your collection of documents, but also can improve the performance of your models for information retrieval tasks, collaborative filtering, or when assessing document similarity.