出典:Wikipedia
出典:『Wikipedia』 (2011/06/06 23:33 UTC 版)
In machine learning and natural language processing, the Pachinko allocation model (PAM) is a topic model, i.e. a generative statistical model for discovering the abstract "topics" that occur in a collection of documents. The algorithm improves upon earlier topic models such as latent Dirichlet allocation by modeling correlations between topics in addition to the word correlations which constitute topics. While first described and implemented in the context of natural language processing, the algorithm may have applications in other fields such as bioinformatics. The name comes from Pachinko, a type of Japanese pinball machine.