#topic-modeling

BERTopic is a modular topic modeling pipeline.

Latent Dirichlet Allocation (Blei, Ng, Jordan, 2003) is the canonical probabilistic topic model.

A survey of the main topic modeling methods, ordered roughly by historical development (matrix factorization → probabilistic generative models → neural → embedding-based).

Topic modeling is an unsupervised technique for discovering abstract themes in a document collection, where a document is whatever unit of text the project treats as one (article, review, tweet, paragraph, support ticket).