Using Topic Models to Interpret MEDLINE's Medical Subject Headings.
David NewmanSarvnaz KarimiLawrence CavedonPublished in: Australasian Conference on Artificial Intelligence (2009)
Keyphrases
- topic models
- medical subject headings
- national library of medicine
- biomedical literature
- text mining
- topic modeling
- metadata
- latent dirichlet allocation
- medical literature
- probabilistic model
- co occurrence
- latent topic models
- generative model
- latent topics
- text documents
- journal articles
- controlled vocabulary
- database
- information retrieval systems
- artificial intelligence
- free text
- probabilistic topic models
- natural language processing
- object recognition
- databases