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| Prefix | Namespace IRI |
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| rdfs | http://www.w3.org/2000/01/rdf-schema# |
| rdf | http://www.w3.org/1999/02/22-rdf-syntax-ns# |
| xsdh | http://www.w3.org/2001/XMLSchema# |
| dbpedia | http://dbpedia.org/resource/ |
- Subject Item
- dbpedia:Topic_model
- rdfs:comment
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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.