The Gamma-PoissonThe Gamma-Poisson model (GaP), uses a combination of Gamma and Poisson distributions to infer latent topics. It presents an approximate factorisation of the document × word matrix with matrices β and X. The word × topic matrix β represents the global topic information of the corpus C and each column βk can be thought of as a probability distribution over the corpus... model (GaPThe Gamma-Poisson model (GaP), uses a combination of Gamma and Poisson distributions to infer latent topics. It presents an approximate factorisation of the document × word matrix with matrices β and X. The word × topic matrix β represents the global topic information of the corpus C and each column βk can be thought of as a probability distribution over the corpus...), uses a combination of Gamma and Poisson distributions to infer latent topics. It presents an approximate factorisation of the document × word matrix with matrices β and X. The word × topic matrix β represents the global topic information of the corpusIn linguistics, a corpus (plural corpora) or text corpus is a large and structured set of texts (nowadays usually electronically stored and processed). They are used to do statistical analysis and hypothesis testing, checking occurrences or validating linguistic rules within a specific language territory.... C and each column βk can be thought of as a probability distribution over the corpusIn linguistics, a corpus (plural corpora) or text corpus is a large and structured set of texts (nowadays usually electronically stored and processed). They are used to do statistical analysis and hypothesis testing, checking occurrences or validating linguistic rules within a specific language territory....
vocabulary for a specific theme k.
A. De Waal, E. Barnard, Evaluating topic models with stability, 19th Annu. Symp. Pattern Recognit. Assoc. South Africa. (2008) 79–84. http://researchspace.csir.co.za/dspace/handle/10204/3016.