Difference between revisions of "Aspect model"
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Taken from the paper: [[RelatedPaper::Thomas Hofmann, Probabilistic Latent Semantic Indexing, SIGIR 2009]] | Taken from the paper: [[RelatedPaper::Thomas Hofmann, Probabilistic Latent Semantic Indexing, SIGIR 2009]] | ||
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Latest revision as of 01:21, 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
