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- Topic_model abstract "In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Intuitively, given that a document is about a particular topic, one would expect particular words to appear in the document more or less frequently: "dog" and "bone" will appear more often in documents about dogs, "cat" and "meow" will appear in documents about cats, and "the" and "is" will appear equally in both. A document typically concerns multiple topics in different proportions; thus, in a document that is 10% about cats and 90% about dogs, there would probably be about 9 times more dog words than cat words. A topic model captures this intuition in a mathematical framework, which allows examining a set of documents and discovering, based on the statistics of the words in each, what the topics might be and what each document's balance of topics is.Although topic models were first described and implemented in the context of natural language processing, they have applications in other fields such as bioinformatics.".
- Topic_model wikiPageExternalLink topic-modeling-martha-ballards-diary.
- Topic_model wikiPageExternalLink topic-modeling-a-basic-introduction-by-megan-r-brett.
- Topic_model wikiPageExternalLink ).
- Topic_model wikiPageExternalLink topics.html.
- Topic_model wikiPageExternalLink topic-modeling-in-the-humanities-an-overview.
- Topic_model wikiPageExternalLink ).
- Topic_model wikiPageExternalLink SteyversGriffithsLSABookFormatted.pdf.
- Topic_model wikiPageExternalLink ).
- Topic_model wikiPageExternalLink toolsfortext.wordpress.com.
- Topic_model wikiPageExternalLink 13597441.
- Topic_model wikiPageExternalLink page=108.
- Topic_model wikiPageExternalLink tales.
- Topic_model wikiPageExternalLink BleiLafferty2009.pdf.
- Topic_model wikiPageExternalLink JASIST_Newman.pdf.
- Topic_model wikiPageExternalLink 02-jocch-mimno.pdf.
- Topic_model wikiPageExternalLink wp-trackback.php?p=60.
- Topic_model wikiPageExternalLink 9780805854183.
- Topic_model wikiPageExternalLink 39.
- Topic_model wikiPageExternalLink watch?v=1wcX4fEdNUo.
- Topic_model wikiPageExternalLink watch?v=8nBE5Qm8y6I.
- Topic_model wikiPageExternalLink comprehending-the-digital-humanities.
- Topic_model wikiPageID "28934119".
- Topic_model wikiPageRevisionID "599553498".
- Topic_model hasPhotoCollection Topic_model.
- Topic_model subject Category:Latent_variable_models.
- Topic_model subject Category:Statistical_natural_language_processing.
- Topic_model type Assistant109815790.
- Topic_model type CausalAgent100007347.
- Topic_model type LatentVariableModels.
- Topic_model type LivingThing100004258.
- Topic_model type Model110324560.
- Topic_model type Object100002684.
- Topic_model type Organism100004475.
- Topic_model type Person100007846.
- Topic_model type PhysicalEntity100001930.
- Topic_model type Whole100003553.
- Topic_model type Worker109632518.
- Topic_model type YagoLegalActor.
- Topic_model type YagoLegalActorGeo.
- Topic_model comment "In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Intuitively, given that a document is about a particular topic, one would expect particular words to appear in the document more or less frequently: "dog" and "bone" will appear more often in documents about dogs, "cat" and "meow" will appear in documents about cats, and "the" and "is" will appear equally in both.".
- Topic_model label "Topic model".
- Topic_model label "Topic model".
- Topic_model label "Тематическое моделирование".
- Topic_model label "主题模型".
- Topic_model sameAs Topic_model.
- Topic_model sameAs m.0dgn020.
- Topic_model sameAs Q3532085.
- Topic_model sameAs Q3532085.
- Topic_model sameAs Topic_model.
- Topic_model wasDerivedFrom Topic_model?oldid=599553498.
- Topic_model isPrimaryTopicOf Topic_model.