Difference between revisions of "Aspect model"
From Cohen Courses
Jump to navigationJump to search (Created page with 'Aspect model is a latent variable model for general co-occurrence data which associates an unobserved class variable ''z'' with each observation that is in the form of co-occurre…') |
|||
| Line 7: | Line 7: | ||
Discussed in [http://malt.ml.cmu.edu/mw/index.php/Class_Meeting_for_10-802_02/22/2011 Class Meeting for 10-802 02/22/2011] | Discussed in [http://malt.ml.cmu.edu/mw/index.php/Class_Meeting_for_10-802_02/22/2011 Class Meeting for 10-802 02/22/2011] | ||
| − | [[RelatedPaper::Thomas Hofmann, Probabilistic Latent Semantic Indexing, SIGIR 2009]] | + | Taken from the paper: [[RelatedPaper::Thomas Hofmann, Probabilistic Latent Semantic Indexing, SIGIR 2009]] |
Revision as of 00:37, 27 March 2011
Aspect model is a latent variable model for general co-occurrence data which associates an unobserved class variable z with each observation that is in the form of co-occurrence between a word w with a document d, i.e. an observed pair (w, d).
The model is based on two assumptions:
- Observation pairs (w, d) are assumed to be generated independently
- Conditioned on the latent class z, words w are generated independently of the document d.
Discussed in Class Meeting for 10-802 02/22/2011
Taken from the paper: Thomas Hofmann, Probabilistic Latent Semantic Indexing, SIGIR 2009
