Difference between revisions of "Topic Model"
From Cohen Courses
Jump to navigationJump to search (Created page with 'A topic model is a graphical model which can be used to do probabilistic analysis of a corpus. One of the most commonly used topic model is') |
|||
| Line 1: | Line 1: | ||
| − | A topic model is a graphical model which can be used to do probabilistic analysis of a corpus. One of the most commonly used topic model is | + | A topic model is a graphical model which can be used to do probabilistic analysis of a corpus. One of the most commonly used topic model is [[UsesMethod:: Latent Dirichlet Allocation]] which finds varied applications in information retrieval, classification etc. |
Latest revision as of 20:53, 28 March 2011
A topic model is a graphical model which can be used to do probabilistic analysis of a corpus. One of the most commonly used topic model is Latent Dirichlet Allocation which finds varied applications in information retrieval, classification etc.
