Good articles that explain topic models and LDA?
I've tried searching for good articles that cover Topic Models and LDA, but on Google I'd only find mediocre Medium articles that cover library X in language Y without explaining the math behind it.
You probably want to start with papers by Gerard Salton and work your way forward from there. Basically, a topic model is a vector space model (typically implemented as a matrix where each row is one vector and each column is a dimension). How the matrix gets filled depends a lot on the underlying data, the assumptions that can be made, and the application.