Curious about techniques and methods for applying data science to unstructured text? Join us at the DC NLP November Meetup!
This month's event features an overview of Latent Dirichlet Allocation and probabilistic topic modeling.
Topic models are a family of models to estimate the distribution of abstract concepts (topics) that make up a collection of documents. Over the last several years, the popularity of topic modeling has swelled. One model, Latent Dirichlet Allocation (LDA), is especially popular.