Latent Dirichlet Allocation

GPTKB entity

Predicate	Object
gptkbp:instanceOf	statistical analysis topic model
gptkbp:assumes	bag-of-words model
gptkbp:basedOn	gptkb:Dirichlet_distribution
gptkbp:describedBy	gptkb:Journal_of_Machine_Learning_Research
gptkbp:developedBy	gptkb:Andrew_Ng gptkb:David_Blei gptkb:Michael_I._Jordan
gptkbp:field	gptkb:artificial_intelligence gptkb:machine_learning text mining
https://www.w3.org/2000/01/rdf-schema#label	Latent Dirichlet Allocation
gptkbp:inferenceMethod	gptkb:Gibbs_sampling variational Bayes
gptkbp:input	corpus of documents
gptkbp:openSource	gptkb:Gensim gptkb:MALLET gptkb:scikit-learn
gptkbp:output	topic distribution per document word distribution per topic
gptkbp:parameter	number of topics Dirichlet prior alpha Dirichlet prior beta
gptkbp:publicationYear	2003
gptkbp:relatedTo	gptkb:machine_learning gptkb:probabilistic_latent_semantic_analysis natural language processing probabilistic graphical model
gptkbp:supportsAlgorithm	unsupervised learning
gptkbp:usedFor	information retrieval topic modeling document classification
gptkbp:bfsParent	gptkb:Dirichlet_distribution gptkb:Gensim gptkb:Thomas_Hofmann gptkb:Replicated_Softmax_RBM gptkb:Replicated_Softmax_model
gptkbp:bfsLayer	6