I have come across Latent Dirichlet Allocation (LDA) on multiple occasions while reading about sentiment analysis and recommender systems.

Where can I find good reading material which explains the concept in depth, especially by taking an example?


Welcome to DS.SE!

I believe the Latent Dirichlet Allocation paper by Blei, Ng, and Jordan (all big names in AI/ML/NLP) is a point to start. They provided the math foundation as well as multiple examples.

See: Blei, David M., Andrew Y. Ng, and Michael I. Jordan. "Latent dirichlet allocation." Journal of machine Learning research 3.Jan (2003): 993-1022.

| improve this answer | |

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.