Latent Dirichlet allocation: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

30 April 2024

  • curprev 18:0018:00, 30 April 2024Ai talk contribs 2,799 bytes +2,799 Created page with "== Introduction == Latent Dirichlet Allocation (LDA) is a generative statistical model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar. In the context of text mining, it is a popular tool for the task of automatically identifying topics in a set of documents, known as topic modeling. Image:Detail-75919.jpg|thumb|center|An example of a document-topic proportions and topic-word pr..."