Practical Guide to Topic Modeling with LDA

Practical Guide to Topic Modeling with Latent Dirichlet Allocation (LDA)

Get better results in up to 99% less training time

Latent Dirichlet Allocation (LDA for short) is a mixed-membership (“soft clustering”) model that’s classically used to infer what a document is talking about. When you read this article, you can easily infer that it’s about machine learning, data science, topic modeling, etc. But when you have a million documents, you can’t possibly read and label each one manually to extract …

article clustering data science document guide lda machine learning mixed modeling nlp practical tips-and-tricks topic modeling training