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- Dynamic_topic_model abstract "Dynamic topic models are generative models that can be used to analyze the evolution of (unobserved) topics of a collection of documents over time. This family of models was proposed by David Blei and John Lafferty and is an extension to Latent Dirichlet Allocation (LDA) that can handle sequential documents.In LDA, both the order the words appear in a document and the order the documents appear in the corpus are oblivious to the model. Whereas words are still assumed to be exchangeable, in a dynamic topic model the order of the documents plays a fundamental role. More precisely, the documents are grouped by time slice (e.g.: years) and it is assumed that the documents of each group come from a set of topics that evolved from the set of the previous slice.".
- Dynamic_topic_model wikiPageID "34073580".
- Dynamic_topic_model wikiPageRevisionID "479691596".
- Dynamic_topic_model hasPhotoCollection Dynamic_topic_model.
- Dynamic_topic_model subject Category:Latent_variable_models.
- Dynamic_topic_model subject Category:Statistical_natural_language_processing.
- Dynamic_topic_model type Assistant109815790.
- Dynamic_topic_model type CausalAgent100007347.
- Dynamic_topic_model type LatentVariableModels.
- Dynamic_topic_model type LivingThing100004258.
- Dynamic_topic_model type Model110324560.
- Dynamic_topic_model type Object100002684.
- Dynamic_topic_model type Organism100004475.
- Dynamic_topic_model type Person100007846.
- Dynamic_topic_model type PhysicalEntity100001930.
- Dynamic_topic_model type Whole100003553.
- Dynamic_topic_model type Worker109632518.
- Dynamic_topic_model type YagoLegalActor.
- Dynamic_topic_model type YagoLegalActorGeo.
- Dynamic_topic_model comment "Dynamic topic models are generative models that can be used to analyze the evolution of (unobserved) topics of a collection of documents over time. This family of models was proposed by David Blei and John Lafferty and is an extension to Latent Dirichlet Allocation (LDA) that can handle sequential documents.In LDA, both the order the words appear in a document and the order the documents appear in the corpus are oblivious to the model.".
- Dynamic_topic_model label "Dynamic topic model".
- Dynamic_topic_model sameAs m.0hq_3dw.
- Dynamic_topic_model sameAs Q5319030.
- Dynamic_topic_model sameAs Q5319030.
- Dynamic_topic_model sameAs Dynamic_topic_model.
- Dynamic_topic_model wasDerivedFrom Dynamic_topic_model?oldid=479691596.
- Dynamic_topic_model isPrimaryTopicOf Dynamic_topic_model.