Difference between revisions of "Aspect model"
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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]] |
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+ | == Relevant Papers == | ||
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+ | {{#ask: [[UsesMethod::Aspect model]] | ||
+ | | ?AddressesProblem | ||
+ | | ?UsesDataset | ||
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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